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weight:
- 1.0
- 3.0
- 1.0
- 2.0
base_config:
optim_type: AdamW
kwargs: |
{
"lr": 0.006,
"weight_decay": 0.01,
"betas": (0.9, 0.999)
}
kwargs: |
{
"warmup_iters": 2904,
"total_iters": 580800,
"warmup_ratio": 0.000001,
"min_lr": 0.00000,
"power": 1.
}
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+-----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+===========+ |
| | | background | 0.889589 | 0.726998 | 0.659873 | |
| | +------------+-------------+----------+-----------+ |
| | | 1 | 0.0334368 | 0.102446 | 0.0237217 | |
| | +------------+-------------+----------+-----------+ |
| | | 2 | 0.170411 | 0.156224 | 0.0865926 | |
| | +------------+-------------+----------+-----------+ |
| | | 3 | 0.0347756 | 0.174248 | 0.0230135 | |
| | +------------+-------------+----------+-----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.282053 | 0.289979 | 0.1983 | 0.658173 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 3.355
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+-----------+-----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+===========+===========+ |
| | | background | 0.912537 | 0.877955 | 0.80935 | |
| | +------------+-------------+-----------+-----------+ |
| | | 1 | 0.0484264 | 0.0978084 | 0.0299424 | |
| | +------------+-------------+-----------+-----------+ |
| | | 2 | 0.497441 | 0.477127 | 0.305838 | |
| | +------------+-------------+-----------+-----------+ |
| | | 3 | 0.100773 | 0.141766 | 0.0585418 | |
| | +------------+-------------+-----------+-----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.389794 | 0.398664 | 0.300918 | 0.811945 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 1.172
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+-----------+-----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+===========+===========+ |
| | | background | 0.922859 | 0.911712 | 0.846735 | |
| | +------------+-------------+-----------+-----------+ |
| | | 1 | 0.0700351 | 0.0768989 | 0.0299472 | |
| | +------------+-------------+-----------+-----------+ |
| | | 2 | 0.60718 | 0.598562 | 0.41197 | |
| | +------------+-------------+-----------+-----------+ |
| | | 3 | 0.208946 | 0.206213 | 0.104889 | |
| | +------------+-------------+-----------+-----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.452255 | 0.448347 | 0.348385 | 0.851864 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.780
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+-----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+===========+ |
| | | background | 0.930601 | 0.938455 | 0.876794 | |
| | +------------+-------------+----------+-----------+ |
| | | 1 | 0.175288 | 0.126837 | 0.0654713 | |
| | +------------+-------------+----------+-----------+ |
| | | 2 | 0.662249 | 0.652337 | 0.473444 | |
| | +------------+-------------+----------+-----------+ |
| | | 3 | 0.321424 | 0.287541 | 0.169395 | |
| | +------------+-------------+----------+-----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.52239 | 0.501292 | 0.396276 | 0.881598 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.561
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.938712 | 0.947316 | 0.891918 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.305007 | 0.236598 | 0.13819 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.701482 | 0.694429 | 0.517927 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.413537 | 0.361297 | 0.229107 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.589684 | 0.55991 | 0.444285 | 0.897257 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.448
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.945632 | 0.952328 | 0.902705 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.368453 | 0.348 | 0.2031 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.735995 | 0.710047 | 0.553534 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.508629 | 0.493507 | 0.325665 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.639677 | 0.625971 | 0.496251 | 0.908251 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.374
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.95144 | 0.953646 | 0.909196 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.399381 | 0.420677 | 0.242848 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.756485 | 0.740135 | 0.581599 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.559199 | 0.582068 | 0.389095 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.666626 | 0.674131 | 0.530685 | 0.914966 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.329
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.95508 | 0.955047 | 0.913777 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.418048 | 0.481992 | 0.268363 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.781045 | 0.744892 | 0.604486 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.599321 | 0.639558 | 0.439695 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.688373 | 0.705372 | 0.55658 | 0.919626 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.297
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.958803 | 0.957387 | 0.919425 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.433244 | 0.524491 | 0.293804 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.800534 | 0.759576 | 0.630161 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.613364 | 0.663015 | 0.46447 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.701486 | 0.726117 | 0.576965 | 0.92516 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.274
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.96102 | 0.958812 | 0.922763 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.448938 | 0.560673 | 0.320396 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.813223 | 0.771016 | 0.64432 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.643255 | 0.703576 | 0.497132 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.716609 | 0.748519 | 0.596153 | 0.928641 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.255
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.973527 | 0.952295 | 0.928267 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.528151 | 0.537128 | 0.362288 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.739897 | 0.909881 | 0.687098 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.701706 | 0.757639 | 0.57047 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.73582 | 0.789236 | 0.637031 | 0.935309 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
val_avg_loss: 0.216
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.963458 | 0.961448 | 0.927491 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.46872 | 0.575208 | 0.334838 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.824232 | 0.792492 | 0.668402 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.647995 | 0.725452 | 0.519083 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.726101 | 0.76365 | 0.612453 | 0.933153 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.237
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.964842 | 0.960692 | 0.928077 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.480614 | 0.616908 | 0.356621 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.824685 | 0.790628 | 0.666717 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.668485 | 0.740873 | 0.538756 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.734656 | 0.777275 | 0.622543 | 0.933751 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.227
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.966439 | 0.962211 | 0.930946 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.48336 | 0.62213 | 0.358893 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.834 | 0.801212 | 0.682265 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.667422 | 0.769564 | 0.552545 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.737806 | 0.788779 | 0.631162 | 0.936561 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.218
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.967869 | 0.962147 | 0.932264 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.508979 | 0.658067 | 0.383316 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.843634 | 0.806013 | 0.692857 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.668076 | 0.759414 | 0.543272 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.747139 | 0.79641 | 0.637927 | 0.93795 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.206
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.968018 | 0.96394 | 0.934057 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.524554 | 0.669091 | 0.402845 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.842392 | 0.802785 | 0.687646 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.676822 | 0.77346 | 0.559911 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.752946 | 0.802319 | 0.646115 | 0.939625 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.202
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.968054 | 0.964182 | 0.934248 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.531844 | 0.655256 | 0.394552 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.842325 | 0.812054 | 0.693903 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.68889 | 0.771078 | 0.570994 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.757778 | 0.800642 | 0.648424 | 0.939752 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.208
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.97019 | 0.965734 | 0.937801 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.530975 | 0.677104 | 0.408892 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.858445 | 0.812985 | 0.709048 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.698554 | 0.789534 | 0.587942 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.764541 | 0.811339 | 0.660921 | 0.94319 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.190
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.970492 | 0.967122 | 0.939423 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.549199 | 0.684102 | 0.423986 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.857711 | 0.818088 | 0.715686 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.708812 | 0.804789 | 0.599857 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.771554 | 0.818525 | 0.669738 | 0.944712 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.188
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.971923 | 0.966598 | 0.940224 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.544795 | 0.712538 | 0.429086 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.859759 | 0.823684 | 0.719224 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.706302 | 0.805056 | 0.601277 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.770695 | 0.826969 | 0.672453 | 0.945464 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.179
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.973947 | 0.96747 | 0.942955 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.563163 | 0.706381 | 0.438708 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.872532 | 0.841329 | 0.743504 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.716721 | 0.807452 | 0.609776 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.781591 | 0.830658 | 0.683736 | 0.948151 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.171
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.983847 | 0.959976 | 0.945079 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.5467 | 0.742734 | 0.456392 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.822286 | 0.925977 | 0.770293 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.742535 | 0.863496 | 0.664048 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.773842 | 0.873046 | 0.708953 | 0.950718 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
val_avg_loss: 0.149
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.974829 | 0.968919 | 0.945192 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.56396 | 0.717868 | 0.448514 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.871425 | 0.843624 | 0.745507 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.725951 | 0.824785 | 0.625851 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.784042 | 0.838799 | 0.691266 | 0.950097 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.165
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.973444 | 0.968657 | 0.943658 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.578803 | 0.722599 | 0.458092 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.865156 | 0.833236 | 0.731751 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.729784 | 0.819305 | 0.622682 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.786797 | 0.835949 | 0.689046 | 0.948728 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.170
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.975127 | 0.96999 | 0.946507 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.587136 | 0.735967 | 0.465245 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.880262 | 0.845082 | 0.75399 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.733405 | 0.831324 | 0.635591 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.793983 | 0.845591 | 0.700333 | 0.951506 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.160
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.975312 | 0.969936 | 0.946605 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.591098 | 0.743636 | 0.475105 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.87525 | 0.844343 | 0.749953 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.738427 | 0.825497 | 0.633752 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.795022 | 0.845853 | 0.701354 | 0.951583 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.159
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.973347 | 0.969438 | 0.944273 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.584528 | 0.723606 | 0.463225 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.865125 | 0.828479 | 0.728282 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.732493 | 0.815866 | 0.62562 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.788873 | 0.834347 | 0.69035 | 0.949105 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.172
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.97395 | 0.969143 | 0.944566 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.569991 | 0.709844 | 0.442354 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.868272 | 0.838796 | 0.738933 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.740957 | 0.822632 | 0.634349 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.788292 | 0.835104 | 0.690051 | 0.949199 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.173
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.975241 | 0.970383 | 0.946929 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.59453 | 0.734175 | 0.471101 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.875507 | 0.841064 | 0.747251 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.745458 | 0.826163 | 0.642045 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.797684 | 0.842946 | 0.701832 | 0.951894 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.159
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.977823 | 0.971653 | 0.950636 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.617104 | 0.759879 | 0.497649 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.888195 | 0.8619 | 0.773377 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.751759 | 0.850632 | 0.663437 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.80872 | 0.861016 | 0.721275 | 0.955351 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.146
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.978378 | 0.973058 | 0.952515 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.616534 | 0.784667 | 0.519017 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.899373 | 0.852891 | 0.774706 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.756734 | 0.859262 | 0.673457 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.812755 | 0.86747 | 0.729923 | 0.956955 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.137
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.979107 | 0.972853 | 0.952996 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.632067 | 0.804789 | 0.536418 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.890361 | 0.866924 | 0.779 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.757425 | 0.843005 | 0.659939 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.81474 | 0.871893 | 0.732089 | 0.957531 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.136
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.98075 | 0.961503 | 0.943695 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.44427 | 0.885236 | 0.41877 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.903734 | 0.86418 | 0.79056 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.819454 | 0.845622 | 0.713391 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.787052 | 0.889135 | 0.716604 | 0.949447 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
val_avg_loss: 0.140
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.97924 | 0.973427 | 0.953694 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.636937 | 0.80105 | 0.536469 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.896166 | 0.859289 | 0.778137 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.760549 | 0.860483 | 0.678618 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.818223 | 0.873562 | 0.73673 | 0.958096 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.133
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.97974 | 0.973409 | 0.954174 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.633629 | 0.802768 | 0.54171 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.892042 | 0.861437 | 0.777492 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.759043 | 0.854991 | 0.670514 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.816113 | 0.873151 | 0.735973 | 0.958602 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.132
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.977697 | 0.972666 | 0.951457 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.637429 | 0.782005 | 0.532385 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.88264 | 0.841851 | 0.751042 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.764088 | 0.864002 | 0.680043 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.815464 | 0.865131 | 0.728732 | 0.956059 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.142
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.979983 | 0.974683 | 0.955608 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.648234 | 0.810633 | 0.552615 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.899072 | 0.864552 | 0.785601 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.766769 | 0.866035 | 0.682105 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.823515 | 0.878976 | 0.743982 | 0.959811 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.130
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.980405 | 0.975808 | 0.957087 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.665583 | 0.830102 | 0.576046 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.906101 | 0.859226 | 0.786252 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.773183 | 0.863356 | 0.685578 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.831318 | 0.882123 | 0.751241 | 0.961277 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.122
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.982578 | 0.975961 | 0.959318 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.675084 | 0.840875 | 0.592706 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.90628 | 0.88428 | 0.808197 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.770403 | 0.859529 | 0.682134 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.833586 | 0.890161 | 0.760589 | 0.963392 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.114
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.981492 | 0.976478 | 0.958792 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.670114 | 0.829373 | 0.585436 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.907743 | 0.874436 | 0.800788 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.770138 | 0.85463 | 0.678027 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.832371 | 0.883729 | 0.755761 | 0.962833 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.118
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.980463 | 0.974619 | 0.955977 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.654303 | 0.808985 | 0.55456 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.896869 | 0.869861 | 0.78596 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.773434 | 0.865109 | 0.687637 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.826267 | 0.879644 | 0.746033 | 0.960295 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.128
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.980088 | 0.974939 | 0.955923 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.663437 | 0.800136 | 0.557794 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.894171 | 0.865997 | 0.780048 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.772733 | 0.862015 | 0.683622 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.827607 | 0.875772 | 0.744347 | 0.960191 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.126
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.983216 | 0.9768 | 0.960736 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.68919 | 0.843242 | 0.604539 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.90493 | 0.889139 | 0.810725 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.777177 | 0.872162 | 0.696723 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.838628 | 0.895336 | 0.768181 | 0.964723 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.109
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.987443 | 0.972274 | 0.960405 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.708011 | 0.790533 | 0.595478 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.877969 | 0.924216 | 0.818624 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.751242 | 0.942456 | 0.718348 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.831166 | 0.90737 | 0.773214 | 0.964611 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
val_avg_loss: 0.117
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.982801 | 0.976573 | 0.960102 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.682634 | 0.848173 | 0.601448 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.905724 | 0.878584 | 0.806089 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.774927 | 0.867793 | 0.69015 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.836521 | 0.892781 | 0.764447 | 0.964127 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.112
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.978262 | 0.974104 | 0.953403 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.656217 | 0.810872 | 0.559696 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.88846 | 0.83946 | 0.7535 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.757867 | 0.836717 | 0.654403 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.820201 | 0.865288 | 0.730251 | 0.957495 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.139
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.982689 | 0.976839 | 0.960265 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.683893 | 0.848698 | 0.602593 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.909264 | 0.878457 | 0.804783 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.774914 | 0.871267 | 0.69383 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.83769 | 0.893815 | 0.765368 | 0.964275 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.111
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.984055 | 0.978576 | 0.963273 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.708655 | 0.873524 | 0.639392 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.916825 | 0.883534 | 0.816485 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.789813 | 0.884722 | 0.715377 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.849837 | 0.905089 | 0.783632 | 0.967019 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.100
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.984876 | 0.978534 | 0.964028 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.709863 | 0.867989 | 0.637988 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.91636 | 0.895741 | 0.826294 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.78787 | 0.880668 | 0.713708 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.849742 | 0.905733 | 0.785504 | 0.967802 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.098
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.983481 | 0.978394 | 0.962534 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.701311 | 0.858741 | 0.62173 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.914772 | 0.885767 | 0.817113 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.785003 | 0.872817 | 0.701428 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.846142 | 0.89893 | 0.775701 | 0.966387 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.106
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.983852 | 0.979591 | 0.96406 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.722425 | 0.875542 | 0.652349 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.920439 | 0.879961 | 0.816023 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.794527 | 0.884428 | 0.718994 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.855311 | 0.90488 | 0.787856 | 0.967728 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.100
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.981772 | 0.977801 | 0.960337 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.691799 | 0.842619 | 0.604957 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.911521 | 0.864227 | 0.793733 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.781552 | 0.878906 | 0.703271 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.841661 | 0.890888 | 0.765574 | 0.964015 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.114
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.983326 | 0.978284 | 0.962278 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.700846 | 0.841836 | 0.611021 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.918378 | 0.886022 | 0.819815 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.78653 | 0.87403 | 0.703575 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.84727 | 0.895043 | 0.774172 | 0.965998 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.107
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.982434 | 0.978719 | 0.961855 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.704375 | 0.863001 | 0.631151 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.913777 | 0.875178 | 0.806789 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.782277 | 0.868699 | 0.695815 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.845716 | 0.896399 | 0.773903 | 0.965712 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.108
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.982624 | 0.979932 | 0.963249 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.756779 | 0.776709 | 0.619099 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.919504 | 0.882472 | 0.818634 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.784227 | 0.919162 | 0.733857 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.860784 | 0.889569 | 0.78371 | 0.967142 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
val_avg_loss: 0.120
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.984097 | 0.979805 | 0.96451 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.717276 | 0.876549 | 0.649441 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.922473 | 0.886355 | 0.823573 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.787861 | 0.876535 | 0.711902 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.852927 | 0.904811 | 0.787356 | 0.968163 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.097
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.98489 | 0.980227 | 0.965681 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.72904 | 0.876882 | 0.657001 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.922736 | 0.891955 | 0.82833 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.805396 | 0.88634 | 0.728247 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.860515 | 0.908851 | 0.794815 | 0.969323 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.095
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.985547 | 0.980053 | 0.966134 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.718252 | 0.870019 | 0.646563 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.92707 | 0.89847 | 0.838302 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.801623 | 0.887302 | 0.725201 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.858123 | 0.908961 | 0.79405 | 0.969721 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.093
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.985911 | 0.9811 | 0.967508 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.742974 | 0.889731 | 0.678669 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.929087 | 0.892451 | 0.834289 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.799278 | 0.886758 | 0.722078 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.864312 | 0.91251 | 0.800636 | 0.970927 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.088
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.986246 | 0.981035 | 0.967775 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.745507 | 0.890677 | 0.680038 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.927268 | 0.903589 | 0.843293 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.801454 | 0.883437 | 0.72199 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.865119 | 0.914685 | 0.803274 | 0.971119 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.089
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.985318 | 0.979598 | 0.965478 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.723469 | 0.875711 | 0.655693 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.923728 | 0.898681 | 0.835158 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.79029 | 0.880373 | 0.711119 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.855701 | 0.908591 | 0.791862 | 0.969143 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.094
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.98505 | 0.979816 | 0.965433 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.716814 | 0.865214 | 0.641283 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.925141 | 0.892445 | 0.830643 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.79796 | 0.895839 | 0.728689 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.856241 | 0.908329 | 0.791512 | 0.969085 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.096
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.985144 | 0.980699 | 0.966375 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.740759 | 0.889996 | 0.676389 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.924016 | 0.882911 | 0.821684 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.801431 | 0.893429 | 0.729731 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.862838 | 0.911759 | 0.798545 | 0.969923 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.091
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.986327 | 0.98152 | 0.968322 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.744816 | 0.88796 | 0.675889 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.929089 | 0.904104 | 0.844061 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.804044 | 0.894146 | 0.733605 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.866069 | 0.916933 | 0.805469 | 0.971727 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.088
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.986131 | 0.981862 | 0.968472 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.750521 | 0.907874 | 0.695752 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.932699 | 0.892911 | 0.837588 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.804453 | 0.895481 | 0.738434 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.868451 | 0.919532 | 0.810062 | 0.971882 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.084
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.985415 | 0.978554 | 0.964587 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.752915 | 0.798511 | 0.627892 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.896072 | 0.919696 | 0.830674 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.810794 | 0.908043 | 0.749415 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.861299 | 0.901201 | 0.793142 | 0.968562 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
val_avg_loss: 0.128
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.982904 | 0.978235 | 0.961854 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.712142 | 0.844562 | 0.621647 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.912152 | 0.888056 | 0.815976 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.789621 | 0.871722 | 0.704954 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.849205 | 0.895643 | 0.776108 | 0.965692 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.113
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.983993 | 0.979924 | 0.964531 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.726058 | 0.869578 | 0.651413 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.923464 | 0.886532 | 0.82373 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.789272 | 0.884736 | 0.711389 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.855697 | 0.905192 | 0.787766 | 0.968168 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.101
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.975609 | 0.983114 | 0.959171 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0.670941 | 0.789974 | 0.605128 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0.829889 | 0.804119 | 0.749486 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0.719571 | 0.798597 | 0.654816 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.799002 | 0.843951 | 0.74215 | 0.962273 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 0.101
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.880587 | 1 | 0.880587 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.220147 | 0.25 | 0.220147 | 0.880587 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 1.000
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.880561 | 1 | 0.880561 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.22014 | 0.25 | 0.22014 | 0.880561 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 1.000
+--------------+-------------------------------------------------------------+
| table type | table |
+==============+=============================================================+
| single | +------------+-------------+----------+----------+ |
| | | classes | precision | recall | iou | |
| | +============+=============+==========+==========+ |
| | | background | 0.880627 | 1 | 0.880627 | |
| | +------------+-------------+----------+----------+ |
| | | 1 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
| | | 2 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
| | | 3 | 0 | 0 | 0 | |
| | +------------+-------------+----------+----------+ |
+--------------+-------------------------------------------------------------+
| overall | +-----------------+--------------+-----------+------------+ |
| | | avg_precision | avg_recall | avg_iou | accuracy | |
| | +=================+==============+===========+============+ |
| | | 0.220157 | 0.25 | 0.220157 | 0.880627 | |
| | +-----------------+--------------+-----------+------------+ |
+--------------+-------------------------------------------------------------+
train_avg_loss: 1.000
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