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segformer-b0-finetuned-segments-sidewalk-july-24

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segformer-b0-finetuned-segments-sidewalk-july-24

This model is a fine-tuned version of nvidia/mit-b0 on the segments/sidewalk-semantic dataset. It achieves the following results on the evaluation set:

  • Loss: 0.6506
  • Mean Iou: 0.2417
  • Mean Accuracy: 0.2896
  • Overall Accuracy: 0.8279
  • Accuracy Unlabeled: nan
  • Accuracy Flat-road: 0.8456
  • Accuracy Flat-sidewalk: 0.9612
  • Accuracy Flat-crosswalk: 0.6353
  • Accuracy Flat-cyclinglane: 0.7492
  • Accuracy Flat-parkingdriveway: 0.3407
  • Accuracy Flat-railtrack: nan
  • Accuracy Flat-curb: 0.4808
  • Accuracy Human-person: 0.2392
  • Accuracy Human-rider: 0.0
  • Accuracy Vehicle-car: 0.9285
  • Accuracy Vehicle-truck: 0.0
  • Accuracy Vehicle-bus: 0.0
  • Accuracy Vehicle-tramtrain: 0.0
  • Accuracy Vehicle-motorcycle: 0.0
  • Accuracy Vehicle-bicycle: 0.0
  • Accuracy Vehicle-caravan: 0.0
  • Accuracy Vehicle-cartrailer: 0.0
  • Accuracy Construction-building: 0.9229
  • Accuracy Construction-door: 0.0
  • Accuracy Construction-wall: 0.3317
  • Accuracy Construction-fenceguardrail: 0.0065
  • Accuracy Construction-bridge: 0.0
  • Accuracy Construction-tunnel: nan
  • Accuracy Construction-stairs: 0.0
  • Accuracy Object-pole: 0.0667
  • Accuracy Object-trafficsign: 0.0
  • Accuracy Object-trafficlight: 0.0
  • Accuracy Nature-vegetation: 0.9214
  • Accuracy Nature-terrain: 0.8309
  • Accuracy Sky: 0.9552
  • Accuracy Void-ground: 0.0
  • Accuracy Void-dynamic: 0.0
  • Accuracy Void-static: 0.0520
  • Accuracy Void-unclear: 0.0
  • Iou Unlabeled: nan
  • Iou Flat-road: 0.7073
  • Iou Flat-sidewalk: 0.8593
  • Iou Flat-crosswalk: 0.4704
  • Iou Flat-cyclinglane: 0.6415
  • Iou Flat-parkingdriveway: 0.2779
  • Iou Flat-railtrack: nan
  • Iou Flat-curb: 0.3844
  • Iou Human-person: 0.2212
  • Iou Human-rider: 0.0
  • Iou Vehicle-car: 0.7450
  • Iou Vehicle-truck: 0.0
  • Iou Vehicle-bus: 0.0
  • Iou Vehicle-tramtrain: 0.0
  • Iou Vehicle-motorcycle: 0.0
  • Iou Vehicle-bicycle: 0.0
  • Iou Vehicle-caravan: 0.0
  • Iou Vehicle-cartrailer: 0.0
  • Iou Construction-building: 0.6131
  • Iou Construction-door: 0.0
  • Iou Construction-wall: 0.2762
  • Iou Construction-fenceguardrail: 0.0064
  • Iou Construction-bridge: 0.0
  • Iou Construction-tunnel: nan
  • Iou Construction-stairs: 0.0
  • Iou Object-pole: 0.0628
  • Iou Object-trafficsign: 0.0
  • Iou Object-trafficlight: 0.0
  • Iou Nature-vegetation: 0.8426
  • Iou Nature-terrain: 0.6748
  • Iou Sky: 0.9052
  • Iou Void-ground: 0.0
  • Iou Void-dynamic: 0.0
  • Iou Void-static: 0.0448
  • Iou Void-unclear: 0.0

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 6e-05
  • train_batch_size: 5
  • eval_batch_size: 5
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10

Training results

Training Loss Epoch Step Validation Loss Mean Iou Mean Accuracy Overall Accuracy Accuracy Unlabeled Accuracy Flat-road Accuracy Flat-sidewalk Accuracy Flat-crosswalk Accuracy Flat-cyclinglane Accuracy Flat-parkingdriveway Accuracy Flat-railtrack Accuracy Flat-curb Accuracy Human-person Accuracy Human-rider Accuracy Vehicle-car Accuracy Vehicle-truck Accuracy Vehicle-bus Accuracy Vehicle-tramtrain Accuracy Vehicle-motorcycle Accuracy Vehicle-bicycle Accuracy Vehicle-caravan Accuracy Vehicle-cartrailer Accuracy Construction-building Accuracy Construction-door Accuracy Construction-wall Accuracy Construction-fenceguardrail Accuracy Construction-bridge Accuracy Construction-tunnel Accuracy Construction-stairs Accuracy Object-pole Accuracy Object-trafficsign Accuracy Object-trafficlight Accuracy Nature-vegetation Accuracy Nature-terrain Accuracy Sky Accuracy Void-ground Accuracy Void-dynamic Accuracy Void-static Accuracy Void-unclear Iou Unlabeled Iou Flat-road Iou Flat-sidewalk Iou Flat-crosswalk Iou Flat-cyclinglane Iou Flat-parkingdriveway Iou Flat-railtrack Iou Flat-curb Iou Human-person Iou Human-rider Iou Vehicle-car Iou Vehicle-truck Iou Vehicle-bus Iou Vehicle-tramtrain Iou Vehicle-motorcycle Iou Vehicle-bicycle Iou Vehicle-caravan Iou Vehicle-cartrailer Iou Construction-building Iou Construction-door Iou Construction-wall Iou Construction-fenceguardrail Iou Construction-bridge Iou Construction-tunnel Iou Construction-stairs Iou Object-pole Iou Object-trafficsign Iou Object-trafficlight Iou Nature-vegetation Iou Nature-terrain Iou Sky Iou Void-ground Iou Void-dynamic Iou Void-static Iou Void-unclear
2.7039 0.125 20 3.0089 0.0927 0.1417 0.6174 nan 0.2343 0.9657 0.0 0.0002 0.0064 nan 0.0006 0.0046 0.0 0.9171 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4863 0.0 0.0058 0.0013 0.0 nan 0.0 0.0010 0.0 0.0 0.8955 0.4262 0.5880 0.0 0.0000 0.0017 0.0 nan 0.1897 0.6099 0.0 0.0002 0.0063 0.0 0.0006 0.0044 0.0 0.3982 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.3652 0.0 0.0058 0.0013 0.0 0.0 0.0 0.0010 0.0 0.0 0.6971 0.3014 0.5676 0.0 0.0000 0.0016 0.0
2.2735 0.25 40 2.2548 0.1103 0.1575 0.6776 nan 0.6866 0.9320 0.0 0.0005 0.0000 nan 0.0013 0.0 0.0 0.8456 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6957 0.0 0.0005 0.0 0.0 nan 0.0 0.0000 0.0 0.0 0.9660 0.2157 0.6972 0.0 0.0 0.0001 0.0 nan 0.4119 0.7211 0.0 0.0005 0.0000 nan 0.0013 0.0 0.0 0.5169 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4631 0.0 0.0005 0.0 0.0 0.0 0.0 0.0000 0.0 0.0 0.6679 0.1872 0.6707 0.0 0.0 0.0001 0.0
2.0393 0.375 60 1.7801 0.1191 0.1625 0.6919 nan 0.6969 0.9508 0.0 0.0031 0.0009 nan 0.0006 0.0 0.0 0.8673 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7863 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9459 0.1857 0.7609 0.0 0.0 0.0 0.0 nan 0.4455 0.7216 0.0 0.0031 0.0009 nan 0.0006 0.0 0.0 0.5512 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4801 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7076 0.1728 0.7282 0.0 0.0 0.0 0.0
1.8708 0.5 80 1.6276 0.1275 0.1724 0.7060 nan 0.7259 0.9485 0.0 0.0013 0.0010 nan 0.0000 0.0 0.0 0.8795 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.7958 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9465 0.3484 0.8713 0.0 0.0 0.0 0.0 nan 0.4479 0.7485 0.0 0.0013 0.0010 nan 0.0000 0.0 0.0 0.5599 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4945 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7277 0.3001 0.8002 0.0 0.0 0.0 0.0
1.5044 0.625 100 1.5017 0.1301 0.1760 0.7125 nan 0.7595 0.9437 0.0 0.0033 0.0013 nan 0.0001 0.0 0.0 0.8920 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8119 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9493 0.3820 0.8877 0.0 0.0 0.0 0.0 nan 0.4624 0.7647 0.0 0.0033 0.0013 nan 0.0001 0.0 0.0 0.5528 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.4970 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7305 0.3416 0.8091 0.0 0.0 0.0 0.0
1.4321 0.75 120 1.4233 0.1402 0.1885 0.7249 nan 0.8351 0.9300 0.0 0.0105 0.0010 nan 0.0000 0.0 0.0 0.8837 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8178 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9093 0.7329 0.9126 0.0 0.0 0.0 0.0 nan 0.4557 0.7881 0.0 0.0105 0.0009 nan 0.0000 0.0 0.0 0.5882 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5046 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7708 0.5502 0.8158 0.0 0.0 0.0 0.0
1.6843 0.875 140 1.3702 0.1507 0.1979 0.7404 nan 0.7723 0.9568 0.0 0.2863 0.0010 nan 0.0 0.0 0.0 0.8670 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8437 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8800 0.8227 0.9022 0.0 0.0 0.0 0.0 nan 0.5235 0.7727 0.0 0.2830 0.0010 nan 0.0 0.0 0.0 0.6161 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5023 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7513 0.5414 0.8301 0.0 0.0 0.0 0.0
1.3841 1.0 160 1.2792 0.1557 0.1988 0.7493 nan 0.7821 0.9636 0.0 0.3139 0.0018 nan 0.0 0.0 0.0 0.8292 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8621 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9167 0.7779 0.9129 0.0 0.0 0.0 0.0 nan 0.5274 0.7745 0.0 0.3110 0.0018 nan 0.0 0.0 0.0 0.6512 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5125 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7783 0.5755 0.8487 0.0 0.0 0.0 0.0
1.1633 1.125 180 1.2305 0.1604 0.2024 0.7565 nan 0.8239 0.9509 0.0 0.3913 0.0010 nan 0.0000 0.0 0.0 0.8394 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8849 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9317 0.7419 0.9104 0.0 0.0 0.0 0.0 nan 0.5266 0.7939 0.0 0.3819 0.0010 nan 0.0000 0.0 0.0 0.6576 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5129 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7859 0.6157 0.8568 0.0 0.0 0.0 0.0
1.3055 1.25 200 1.1705 0.1635 0.2072 0.7629 nan 0.8053 0.9581 0.0 0.4739 0.0029 nan 0.0 0.0 0.0 0.8556 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8819 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9212 0.8074 0.9230 0.0 0.0 0.0 0.0 nan 0.5555 0.7907 0.0 0.4442 0.0029 nan 0.0 0.0 0.0 0.6582 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5225 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7922 0.6029 0.8642 0.0 0.0 0.0 0.0
1.6919 1.375 220 1.0930 0.1602 0.2069 0.7577 nan 0.8569 0.9445 0.0 0.4060 0.0013 nan 0.0 0.0 0.0 0.8888 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8541 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8949 0.8292 0.9439 0.0 0.0 0.0 0.0 nan 0.5190 0.8032 0.0 0.3971 0.0013 nan 0.0 0.0 0.0 0.6341 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5287 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7930 0.6103 0.8382 0.0 0.0 0.0 0.0
1.118 1.5 240 1.0786 0.1674 0.2125 0.7710 nan 0.8654 0.9339 0.0 0.6481 0.0041 nan 0.0000 0.0 0.0 0.8382 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8874 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9438 0.7516 0.9260 0.0 0.0 0.0 0.0 nan 0.5651 0.8243 0.0 0.5386 0.0041 nan 0.0000 0.0 0.0 0.6591 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5203 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7854 0.5973 0.8640 0.0 0.0 0.0 0.0
1.1816 1.625 260 1.0322 0.1674 0.2108 0.7707 nan 0.8264 0.9640 0.0 0.5392 0.0030 nan 0.0 0.0 0.0 0.8668 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8937 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9099 0.8178 0.9234 0.0 0.0 0.0 0.0 nan 0.5789 0.8009 0.0 0.5026 0.0030 nan 0.0 0.0 0.0 0.6558 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5262 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7986 0.6229 0.8669 0.0 0.0 0.0 0.0
1.3272 1.75 280 1.0356 0.1675 0.2125 0.7696 nan 0.8953 0.9309 0.0 0.5460 0.0094 nan 0.0000 0.0 0.0 0.8843 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8848 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9254 0.8110 0.9144 0.0 0.0 0.0 0.0 nan 0.5270 0.8321 0.0 0.5074 0.0093 nan 0.0000 0.0 0.0 0.6563 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5356 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8006 0.6232 0.8671 0.0 0.0 0.0 0.0
1.461 1.875 300 0.9943 0.1693 0.2156 0.7743 nan 0.8884 0.9378 0.0 0.6180 0.0141 nan 0.0000 0.0 0.0 0.9026 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8715 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9167 0.8110 0.9390 0.0 0.0 0.0 0.0 nan 0.5543 0.8316 0.0 0.5531 0.0141 nan 0.0000 0.0 0.0 0.6285 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5353 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7972 0.6415 0.8620 0.0 0.0 0.0 0.0
0.8503 2.0 320 0.9521 0.1711 0.2151 0.7775 nan 0.8387 0.9557 0.0 0.6275 0.0135 nan 0.0003 0.0 0.0 0.8690 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9001 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9270 0.8244 0.9256 0.0 0.0 0.0 0.0 nan 0.5928 0.8123 0.0 0.5584 0.0133 nan 0.0003 0.0 0.0 0.6652 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5333 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8006 0.6279 0.8704 0.0 0.0 0.0 0.0
1.2008 2.125 340 0.9569 0.1704 0.2123 0.7720 nan 0.7520 0.9779 0.0 0.6198 0.0077 nan 0.0006 0.0 0.0 0.8806 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8845 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9111 0.8300 0.9303 0.0 0.0 0.0 0.0 nan 0.5951 0.7718 0.0 0.5595 0.0077 nan 0.0006 0.0 0.0 0.6692 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5422 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8047 0.6285 0.8740 0.0 0.0 0.0 0.0
0.8722 2.25 360 0.9221 0.1723 0.2170 0.7789 nan 0.8242 0.9625 0.0 0.6288 0.0493 nan 0.0007 0.0 0.0 0.9050 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8935 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9096 0.8300 0.9396 0.0 0.0 0.0 0.0 nan 0.5859 0.8158 0.0 0.5678 0.0479 nan 0.0007 0.0 0.0 0.6478 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5349 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8071 0.6341 0.8712 0.0 0.0 0.0 0.0
1.1602 2.375 380 0.9269 0.1733 0.2208 0.7809 nan 0.8395 0.9412 0.0 0.7393 0.0701 nan 0.0081 0.0 0.0 0.8895 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8680 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9344 0.8348 0.9420 0.0 0.0 0.0 0.0 nan 0.5932 0.8310 0.0 0.5262 0.0669 nan 0.0080 0.0 0.0 0.6682 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5491 0.0 0.0000 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.7925 0.6338 0.8761 0.0 0.0 0.0 0.0
0.8556 2.5 400 0.8914 0.1749 0.2156 0.7832 nan 0.8609 0.9672 0.0 0.6034 0.0476 nan 0.0219 0.0 0.0 0.8707 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8965 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9313 0.7605 0.9404 0.0 0.0 0.0 0.0 nan 0.5965 0.8165 0.0 0.5586 0.0462 nan 0.0212 0.0 0.0 0.6914 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5493 0.0 0.0 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8042 0.6404 0.8739 0.0 0.0 0.0 0.0
0.7832 2.625 420 0.8639 0.1793 0.2246 0.7875 nan 0.8446 0.9522 0.0 0.7268 0.1335 nan 0.0357 0.0 0.0 0.8788 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9090 0.0 0.0002 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9112 0.8534 0.9423 0.0 0.0 0.0 0.0 nan 0.5949 0.8358 0.0 0.5974 0.1200 nan 0.0348 0.0 0.0 0.6925 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5485 0.0 0.0002 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8072 0.6257 0.8808 0.0 0.0 0.0 0.0
0.7566 2.75 440 0.8985 0.1767 0.2216 0.7825 nan 0.9093 0.9330 0.0 0.5968 0.1217 nan 0.0351 0.0 0.0 0.8878 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8986 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9228 0.8387 0.9473 0.0 0.0 0.0 0.0 nan 0.5655 0.8442 0.0 0.5478 0.1101 nan 0.0337 0.0 0.0 0.6815 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5423 0.0 0.0005 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8100 0.6445 0.8733 0.0 0.0 0.0 0.0
1.0791 2.875 460 0.9042 0.1788 0.2190 0.7773 nan 0.7057 0.9779 0.0 0.6349 0.1378 nan 0.0828 0.0 0.0 0.8837 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9071 0.0 0.0014 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9216 0.8164 0.9398 0.0 0.0 0.0001 0.0 nan 0.5968 0.7738 0.0 0.5680 0.1201 nan 0.0771 0.0 0.0 0.6887 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5441 0.0 0.0014 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8191 0.6467 0.8869 0.0 0.0 0.0001 0.0
0.8377 3.0 480 0.8429 0.1796 0.2260 0.7871 nan 0.9267 0.9288 0.0 0.6593 0.1312 nan 0.0794 0.0 0.0 0.9142 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8709 0.0 0.0016 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.9259 0.8521 0.9413 0.0 0.0 0.0001 0.0 nan 0.5860 0.8471 0.0 0.5680 0.1189 nan 0.0753 0.0 0.0 0.6733 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.5590 0.0 0.0016 0.0 0.0 nan 0.0 0.0 0.0 0.0 0.8040 0.6265 0.8870 0.0 0.0 0.0001 0.0
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0.5512 7.875 1260 0.6584 0.2349 0.2828 0.8232 nan 0.8085 0.9621 0.6023 0.7799 0.3110 nan 0.4580 0.1459 0.0 0.9263 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9059 0.0 0.3185 0.0045 0.0 nan 0.0 0.0662 0.0 0.0 0.9351 0.8235 0.9535 0.0 0.0 0.0480 0.0 nan 0.6891 0.8552 0.4529 0.6063 0.2572 nan 0.3668 0.1394 0.0 0.7408 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6184 0.0 0.2729 0.0045 0.0 nan 0.0 0.0622 0.0 0.0 0.8325 0.6726 0.9052 0.0 0.0 0.0418 0.0
0.5665 8.0 1280 0.6482 0.2360 0.2830 0.8275 nan 0.8853 0.9485 0.5162 0.7434 0.3535 nan 0.4637 0.1514 0.0 0.9285 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9162 0.0 0.3339 0.0028 0.0 nan 0.0 0.0583 0.0 0.0 0.9347 0.8114 0.9573 0.0 0.0 0.0493 0.0 nan 0.7097 0.8658 0.3973 0.6420 0.2813 nan 0.3677 0.1442 0.0 0.7370 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6136 0.0 0.2780 0.0028 0.0 nan 0.0 0.0555 0.0 0.0 0.8368 0.6747 0.9040 0.0 0.0 0.0425 0.0
0.5607 8.125 1300 0.6419 0.2416 0.2915 0.8289 nan 0.8491 0.9566 0.7230 0.7390 0.3663 nan 0.5171 0.1725 0.0 0.9251 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9203 0.0 0.3376 0.0034 0.0 nan 0.0 0.0559 0.0 0.0 0.9280 0.8273 0.9566 0.0 0.0 0.0498 0.0 nan 0.7179 0.8623 0.4966 0.6534 0.2854 nan 0.3995 0.1624 0.0 0.7419 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6104 0.0 0.2804 0.0034 0.0 nan 0.0 0.0531 0.0 0.0 0.8403 0.6767 0.9041 0.0 0.0 0.0424 0.0
0.547 8.25 1320 0.6452 0.2401 0.2904 0.8271 nan 0.8454 0.9559 0.6903 0.7527 0.3467 nan 0.4951 0.1829 0.0 0.9270 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9105 0.0 0.3385 0.0054 0.0 nan 0.0 0.0581 0.0 0.0 0.9213 0.8586 0.9579 0.0 0.0 0.0464 0.0 nan 0.7055 0.8615 0.4924 0.6390 0.2790 nan 0.3841 0.1729 0.0 0.7426 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6174 0.0 0.2814 0.0053 0.0 nan 0.0 0.0551 0.0 0.0 0.8342 0.6674 0.9038 0.0 0.0 0.0402 0.0
0.575 8.375 1340 0.6417 0.2399 0.2890 0.8287 nan 0.8789 0.9506 0.6499 0.7599 0.3400 nan 0.4815 0.2067 0.0 0.9264 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9142 0.0 0.3073 0.0055 0.0 nan 0.0 0.0620 0.0 0.0 0.9323 0.8271 0.9594 0.0 0.0 0.0458 0.0 nan 0.7142 0.8665 0.4647 0.6435 0.2786 nan 0.3783 0.1939 0.0 0.7404 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6117 0.0 0.2651 0.0054 0.0 nan 0.0 0.0587 0.0 0.0 0.8357 0.6768 0.9026 0.0 0.0 0.0398 0.0
0.5761 8.5 1360 0.6437 0.2396 0.2871 0.8275 nan 0.8529 0.9573 0.6381 0.7561 0.3359 nan 0.4659 0.2093 0.0 0.9267 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9085 0.0 0.3204 0.0053 0.0 nan 0.0 0.0593 0.0 0.0 0.9411 0.8007 0.9573 0.0 0.0 0.0531 0.0 nan 0.7070 0.8614 0.4658 0.6388 0.2718 nan 0.3759 0.1970 0.0 0.7403 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6175 0.0 0.2723 0.0053 0.0 nan 0.0 0.0564 0.0 0.0 0.8342 0.6734 0.9050 0.0 0.0 0.0455 0.0
0.7298 8.625 1380 0.6421 0.2433 0.2916 0.8303 nan 0.8762 0.9573 0.6831 0.7320 0.3450 nan 0.4702 0.2331 0.0 0.9270 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8965 0.0 0.3681 0.0054 0.0 nan 0.0 0.0602 0.0 0.0 0.9374 0.8236 0.9518 0.0 0.0 0.0658 0.0 nan 0.7182 0.8632 0.4795 0.6617 0.2789 nan 0.3749 0.2202 0.0 0.7413 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6254 0.0 0.2929 0.0053 0.0 nan 0.0 0.0571 0.0 0.0 0.8344 0.6728 0.9059 0.0 0.0 0.0552 0.0
1.1434 8.75 1400 0.6460 0.2406 0.2872 0.8294 nan 0.8834 0.9592 0.6247 0.7015 0.3320 nan 0.4713 0.2162 0.0 0.9257 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9093 0.0 0.3398 0.0049 0.0 nan 0.0 0.0614 0.0 0.0 0.9377 0.8156 0.9555 0.0 0.0 0.0517 0.0 nan 0.7119 0.8632 0.4541 0.6502 0.2749 nan 0.3728 0.2042 0.0 0.7436 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6185 0.0 0.2802 0.0048 0.0 nan 0.0 0.0580 0.0 0.0 0.8371 0.6764 0.9055 0.0 0.0 0.0440 0.0
0.6032 8.875 1420 0.6462 0.2403 0.2877 0.8282 nan 0.8562 0.9592 0.6079 0.7370 0.3376 nan 0.4940 0.2153 0.0 0.9234 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9117 0.0 0.3287 0.0062 0.0 nan 0.0 0.0610 0.0 0.0 0.9324 0.8343 0.9557 0.0 0.0 0.0462 0.0 nan 0.7067 0.8607 0.4509 0.6492 0.2761 nan 0.3860 0.2025 0.0 0.7476 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6156 0.0 0.2750 0.0061 0.0 nan 0.0 0.0577 0.0 0.0 0.8387 0.6711 0.9056 0.0 0.0 0.0400 0.0
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0.5561 9.125 1460 0.6433 0.2425 0.2904 0.8292 nan 0.8774 0.9526 0.6184 0.7383 0.3408 nan 0.4846 0.2610 0.0 0.9212 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9132 0.0 0.3409 0.0080 0.0 nan 0.0 0.0665 0.0 0.0 0.9358 0.8273 0.9539 0.0 0.0 0.0528 0.0 nan 0.7035 0.8658 0.4566 0.6457 0.2769 nan 0.3832 0.2390 0.0 0.7504 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6201 0.0 0.2807 0.0079 0.0 nan 0.0 0.0628 0.0 0.0 0.8384 0.6767 0.9064 0.0 0.0 0.0456 0.0
0.7998 9.25 1480 0.6426 0.2435 0.2923 0.8291 nan 0.8504 0.9603 0.6651 0.7439 0.3315 nan 0.4828 0.2672 0.0 0.9350 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9052 0.0 0.3651 0.0061 0.0 nan 0.0 0.0706 0.0 0.0 0.9316 0.8224 0.9597 0.0 0.0 0.0557 0.0 nan 0.7055 0.8611 0.4829 0.6410 0.2743 nan 0.3834 0.2455 0.0 0.7398 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6255 0.0 0.2895 0.0060 0.0 nan 0.0 0.0662 0.0 0.0 0.8401 0.6782 0.9050 0.0 0.0 0.0482 0.0
0.4971 9.375 1500 0.6446 0.2441 0.2935 0.8278 nan 0.8230 0.9622 0.6830 0.7511 0.3421 nan 0.4969 0.2836 0.0 0.9332 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.8986 0.0 0.3716 0.0088 0.0 nan 0.0 0.0600 0.0 0.0 0.9346 0.8235 0.9572 0.0 0.0 0.0630 0.0 nan 0.6964 0.8566 0.4920 0.6346 0.2794 nan 0.3853 0.2574 0.0 0.7425 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6300 0.0 0.2957 0.0086 0.0 nan 0.0 0.0571 0.0 0.0 0.8380 0.6779 0.9061 0.0 0.0 0.0540 0.0
0.7512 9.5 1520 0.6455 0.2435 0.2924 0.8279 nan 0.8299 0.9600 0.6616 0.7584 0.3290 nan 0.4990 0.2781 0.0 0.9243 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9141 0.0 0.3497 0.0085 0.0 nan 0.0 0.0747 0.0 0.0 0.9351 0.8213 0.9584 0.0 0.0 0.0534 0.0 nan 0.7008 0.8599 0.4834 0.6314 0.2736 nan 0.3899 0.2542 0.0 0.7474 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6191 0.0 0.2856 0.0083 0.0 nan 0.0 0.0699 0.0 0.0 0.8384 0.6772 0.9055 0.0 0.0 0.0461 0.0
0.4762 9.625 1540 0.6426 0.2439 0.2939 0.8282 nan 0.8413 0.9530 0.6880 0.7689 0.3499 nan 0.5063 0.2761 0.0 0.9271 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9182 0.0 0.3380 0.0101 0.0 nan 0.0 0.0703 0.0 0.0 0.9356 0.8177 0.9523 0.0 0.0 0.0518 0.0 nan 0.7039 0.8643 0.4905 0.6266 0.2828 nan 0.3939 0.2521 0.0 0.7451 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6160 0.0 0.2806 0.0099 0.0 nan 0.0 0.0663 0.0 0.0 0.8385 0.6815 0.9065 0.0 0.0 0.0448 0.0
0.3538 9.75 1560 0.6393 0.2444 0.2940 0.8290 nan 0.8490 0.9553 0.6596 0.7572 0.3577 nan 0.4869 0.2816 0.0 0.9325 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9100 0.0 0.3645 0.0085 0.0 nan 0.0 0.0726 0.0 0.0 0.9294 0.8296 0.9576 0.0 0.0 0.0552 0.0 nan 0.7055 0.8631 0.4808 0.6368 0.2850 nan 0.3868 0.2574 0.0 0.7429 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6230 0.0 0.2922 0.0083 0.0 nan 0.0 0.0681 0.0 0.0 0.8412 0.6777 0.9057 0.0 0.0 0.0476 0.0
0.5466 9.875 1580 0.6420 0.2433 0.2922 0.8289 nan 0.8640 0.9511 0.6359 0.7492 0.3604 nan 0.4945 0.2678 0.0 0.9280 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9107 0.0 0.3389 0.0100 0.0 nan 0.0 0.0697 0.0 0.0 0.9355 0.8275 0.9571 0.0 0.0 0.0501 0.0 nan 0.7045 0.8650 0.4684 0.6420 0.2857 nan 0.3864 0.2450 0.0 0.7453 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6192 0.0 0.2813 0.0098 0.0 nan 0.0 0.0658 0.0 0.0 0.8385 0.6782 0.9060 0.0 0.0 0.0438 0.0
0.7021 10.0 1600 0.6506 0.2417 0.2896 0.8279 nan 0.8456 0.9612 0.6353 0.7492 0.3407 nan 0.4808 0.2392 0.0 0.9285 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.9229 0.0 0.3317 0.0065 0.0 nan 0.0 0.0667 0.0 0.0 0.9214 0.8309 0.9552 0.0 0.0 0.0520 0.0 nan 0.7073 0.8593 0.4704 0.6415 0.2779 nan 0.3844 0.2212 0.0 0.7450 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.6131 0.0 0.2762 0.0064 0.0 nan 0.0 0.0628 0.0 0.0 0.8426 0.6748 0.9052 0.0 0.0 0.0448 0.0

Framework versions

  • Transformers 4.42.4
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1
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Image Segmentation
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Model tree for mohit-mahavar/segformer-b0-finetuned-segments-sidewalk-july-24

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Evaluation results

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