queue_detection / README.md
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metadata
base_model: microsoft/conditional-detr-resnet-50
tags:
  - generated_from_trainer
model-index:
  - name: queue_detection
    results: []

queue_detection

This model is a fine-tuned version of microsoft/conditional-detr-resnet-50 on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 0.1272
  • Map: 0.9568
  • Map 50: 0.99
  • Map 75: 0.9848
  • Map Small: -1.0
  • Map Medium: 0.3143
  • Map Large: 0.9595
  • Mar 1: 0.5045
  • Mar 10: 0.9717
  • Mar 100: 0.9726
  • Mar Small: -1.0
  • Mar Medium: 0.3385
  • Mar Large: 0.9755
  • Map Cashier: 0.9619
  • Mar 100 Cashier: 0.9762
  • Map Cx: 0.9517
  • Mar 100 Cx: 0.9689

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: 5e-05
  • train_batch_size: 2
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: cosine
  • num_epochs: 100
  • mixed_precision_training: Native AMP

Training results

Training Loss Epoch Step Validation Loss Map Map 50 Map 75 Map Small Map Medium Map Large Mar 1 Mar 10 Mar 100 Mar Small Mar Medium Mar Large Map Cashier Mar 100 Cashier Map Cx Mar 100 Cx
No log 1.0 218 1.5947 0.1037 0.2081 0.0994 -1.0 0.0 0.1045 0.1112 0.4448 0.653 -1.0 0.0 0.6572 0.1294 0.7485 0.0781 0.5574
No log 2.0 436 1.0934 0.4778 0.7426 0.5557 -1.0 0.0229 0.4814 0.3004 0.6849 0.7512 -1.0 0.0321 0.7576 0.601 0.7972 0.3545 0.7051
3.1068 3.0 654 0.7608 0.6462 0.9281 0.7527 -1.0 0.0299 0.6507 0.3721 0.7442 0.7711 -1.0 0.135 0.775 0.6921 0.7955 0.6003 0.7467
3.1068 4.0 872 0.6540 0.6954 0.9464 0.8364 -1.0 0.0542 0.7002 0.388 0.775 0.7902 -1.0 0.0692 0.7955 0.7573 0.8344 0.6336 0.746
0.7588 5.0 1090 0.6223 0.7027 0.95 0.8391 -1.0 0.0579 0.7069 0.3914 0.7837 0.7985 -1.0 0.0909 0.8028 0.7656 0.8441 0.6397 0.7528
0.7588 6.0 1308 0.5348 0.7501 0.9656 0.8984 0.0 0.0968 0.7554 0.4118 0.8153 0.8279 0.0 0.1731 0.8324 0.806 0.8711 0.6942 0.7846
0.6174 7.0 1526 0.5323 0.7528 0.9746 0.886 -1.0 0.0842 0.7577 0.4157 0.8095 0.8257 -1.0 0.1886 0.8304 0.8005 0.8658 0.7051 0.7856
0.6174 8.0 1744 0.5789 0.737 0.9678 0.887 -1.0 0.0531 0.7425 0.4079 0.7946 0.8054 -1.0 0.125 0.8104 0.7745 0.8372 0.6995 0.7737
0.6174 9.0 1962 0.5023 0.7836 0.9714 0.9179 -1.0 0.0266 0.7896 0.4282 0.8393 0.8508 -1.0 0.0846 0.8564 0.8213 0.8846 0.7459 0.817
0.5475 10.0 2180 0.5080 0.7568 0.981 0.9186 0.0 0.0688 0.7606 0.4136 0.8076 0.8229 0.0 0.1833 0.8263 0.7922 0.8499 0.7214 0.796
0.5475 11.0 2398 0.4572 0.7963 0.9776 0.9388 0.0 0.0675 0.8052 0.4392 0.8446 0.8527 0.0 0.1029 0.8618 0.821 0.8758 0.7717 0.8297
0.496 12.0 2616 0.4583 0.7857 0.982 0.9407 0.0 0.0544 0.7915 0.4294 0.8359 0.847 0.0 0.1458 0.8519 0.8104 0.8715 0.761 0.8225
0.496 13.0 2834 0.4713 0.7798 0.9842 0.9263 -1.0 0.0345 0.7841 0.4252 0.8336 0.8471 -1.0 0.15 0.8509 0.809 0.8666 0.7506 0.8276
0.4736 14.0 3052 0.4737 0.7981 0.9755 0.9349 -1.0 0.0411 0.8053 0.4378 0.8461 0.8529 -1.0 0.0969 0.8595 0.8479 0.8891 0.7483 0.8167
0.4736 15.0 3270 0.4283 0.8069 0.9795 0.9315 0.0 0.0677 0.8154 0.4431 0.8546 0.864 0.0 0.1222 0.872 0.8486 0.9028 0.7651 0.8252
0.4736 16.0 3488 0.3926 0.8155 0.9871 0.9422 -1.0 0.2416 0.8196 0.4471 0.8586 0.8695 -1.0 0.4643 0.8726 0.8548 0.8985 0.7762 0.8404
0.4422 17.0 3706 0.3744 0.831 0.9837 0.9552 -1.0 0.102 0.836 0.4535 0.872 0.8778 -1.0 0.2192 0.8816 0.8738 0.9129 0.7882 0.8428
0.4422 18.0 3924 0.3688 0.8199 0.9879 0.9515 -1.0 0.0956 0.8244 0.4481 0.8655 0.8716 -1.0 0.2444 0.8742 0.8532 0.8972 0.7866 0.8461
0.3889 19.0 4142 0.3579 0.8291 0.9881 0.9546 -1.0 0.1279 0.8348 0.4546 0.8706 0.8758 -1.0 0.3321 0.8806 0.8664 0.9081 0.7918 0.8435
0.3889 20.0 4360 0.3596 0.8268 0.9879 0.9539 -1.0 0.0657 0.8319 0.452 0.8688 0.8757 -1.0 0.1958 0.8796 0.8594 0.9077 0.7942 0.8437
0.3854 21.0 4578 0.3641 0.8164 0.9883 0.957 -1.0 0.1198 0.8209 0.4489 0.8648 0.87 -1.0 0.25 0.8728 0.855 0.9016 0.7778 0.8384
0.3854 22.0 4796 0.3602 0.8292 0.9825 0.9497 0.0 0.0718 0.8384 0.4579 0.8728 0.8773 0.0 0.1353 0.8865 0.8728 0.9142 0.7856 0.8404
0.3614 23.0 5014 0.3371 0.8395 0.9884 0.9646 -1.0 0.167 0.8439 0.4605 0.8805 0.8854 -1.0 0.2571 0.8889 0.8739 0.9128 0.8052 0.8579
0.3614 24.0 5232 0.3107 0.8562 0.9885 0.9709 -1.0 0.1207 0.8597 0.4687 0.8921 0.8939 -1.0 0.1864 0.8978 0.8872 0.9186 0.8252 0.8693
0.3614 25.0 5450 0.3396 0.8385 0.9871 0.9637 -1.0 0.1427 0.8446 0.4585 0.8829 0.8865 -1.0 0.1929 0.8911 0.8617 0.9106 0.8154 0.8624
0.3569 26.0 5668 0.3009 0.8623 0.9891 0.9698 0.0 0.2157 0.8663 0.4701 0.8983 0.9013 0.0 0.405 0.9044 0.884 0.923 0.8406 0.8795
0.3569 27.0 5886 0.3325 0.8475 0.9884 0.9618 -1.0 0.1365 0.8521 0.461 0.8847 0.8892 -1.0 0.2 0.8941 0.874 0.9114 0.821 0.867
0.3422 28.0 6104 0.3232 0.8492 0.9882 0.9698 -1.0 0.1485 0.8529 0.4626 0.8872 0.8898 -1.0 0.2167 0.8935 0.8748 0.9142 0.8235 0.8653
0.3422 29.0 6322 0.2917 0.8636 0.9896 0.9683 -1.0 0.1558 0.8685 0.4713 0.9005 0.9019 -1.0 0.205 0.9053 0.8887 0.9265 0.8384 0.8773
0.3347 30.0 6540 0.3121 0.8589 0.987 0.9639 -1.0 0.1297 0.8645 0.4665 0.8955 0.9005 -1.0 0.2077 0.9047 0.8978 0.9336 0.8201 0.8674
0.3347 31.0 6758 0.2942 0.8659 0.9891 0.9767 0.0 0.1245 0.873 0.4677 0.8992 0.901 0.0 0.1942 0.9069 0.8982 0.9316 0.8336 0.8704
0.3347 32.0 6976 0.3047 0.8557 0.9894 0.9691 -1.0 0.1579 0.8609 0.465 0.8922 0.8946 -1.0 0.2179 0.8995 0.8783 0.9157 0.8332 0.8736
0.3228 33.0 7194 0.2833 0.8686 0.9897 0.9727 -1.0 0.1756 0.8727 0.4723 0.9 0.9026 -1.0 0.2545 0.9057 0.9023 0.934 0.8348 0.8712
0.3228 34.0 7412 0.2995 0.8595 0.9887 0.9688 -1.0 0.1737 0.8654 0.4676 0.8958 0.898 -1.0 0.2357 0.902 0.89 0.9253 0.829 0.8708
0.3032 35.0 7630 0.2869 0.8683 0.9881 0.9651 -1.0 0.1214 0.8753 0.4693 0.9027 0.9053 -1.0 0.1444 0.9123 0.9096 0.9398 0.8271 0.8708
0.3032 36.0 7848 0.2804 0.8665 0.9894 0.9706 -1.0 0.1528 0.8698 0.4694 0.9031 0.9062 -1.0 0.1955 0.91 0.8954 0.9294 0.8377 0.8829
0.3 37.0 8066 0.2992 0.866 0.9896 0.9782 0.0 0.1333 0.8738 0.4698 0.9035 0.9052 0.0 0.24 0.9112 0.8973 0.9305 0.8347 0.88
0.3 38.0 8284 0.2562 0.8803 0.9898 0.9797 -1.0 0.2173 0.8837 0.478 0.9142 0.9155 -1.0 0.3056 0.9176 0.8977 0.9315 0.8629 0.8994
0.2893 39.0 8502 0.2709 0.8733 0.9898 0.9719 -1.0 0.1718 0.8776 0.4732 0.9073 0.9095 -1.0 0.2567 0.9136 0.8913 0.927 0.8552 0.892
0.2893 40.0 8720 0.2424 0.892 0.9897 0.979 -1.0 0.1628 0.8979 0.4806 0.9225 0.9252 -1.0 0.2469 0.9298 0.9231 0.9501 0.8608 0.9002
0.2893 41.0 8938 0.2508 0.883 0.9898 0.9749 -1.0 0.1155 0.889 0.4788 0.9133 0.9159 -1.0 0.2188 0.9209 0.9115 0.9404 0.8545 0.8914
0.2777 42.0 9156 0.2580 0.8793 0.9896 0.9776 -1.0 0.3268 0.8838 0.4754 0.912 0.9133 -1.0 0.3462 0.9181 0.9021 0.9334 0.8565 0.8932
0.2777 43.0 9374 0.2493 0.8902 0.9898 0.9774 -1.0 0.1308 0.8954 0.4786 0.9214 0.9236 -1.0 0.2038 0.9281 0.9166 0.9459 0.8637 0.9013
0.2668 44.0 9592 0.2427 0.8852 0.9896 0.9778 -1.0 0.1606 0.8902 0.4796 0.9195 0.921 -1.0 0.25 0.9243 0.9118 0.9421 0.8586 0.9
0.2668 45.0 9810 0.2497 0.8915 0.9896 0.978 0.0 0.3372 0.8975 0.4804 0.9246 0.9265 0.0 0.4042 0.9314 0.9149 0.9473 0.8681 0.9058
0.2583 46.0 10028 0.2478 0.885 0.9894 0.9717 0.0 0.175 0.8912 0.4832 0.92 0.9217 0.0 0.2192 0.9265 0.9051 0.942 0.8648 0.9014
0.2583 47.0 10246 0.2415 0.8906 0.9897 0.977 0.0 0.2103 0.8947 0.4802 0.9215 0.9239 0.0 0.2917 0.9273 0.9163 0.948 0.8649 0.8998
0.2583 48.0 10464 0.2188 0.9019 0.99 0.9842 -1.0 0.2088 0.9075 0.4849 0.9323 0.9335 -1.0 0.2318 0.9371 0.9253 0.9557 0.8784 0.9114
0.2526 49.0 10682 0.2549 0.8903 0.9898 0.9762 0.0 0.3876 0.8955 0.4791 0.9225 0.9237 0.0 0.4367 0.9294 0.9192 0.9485 0.8614 0.8989
0.2526 50.0 10900 0.2444 0.8909 0.9893 0.9728 -1.0 0.1661 0.8968 0.4779 0.9229 0.9247 -1.0 0.3313 0.9303 0.9109 0.9438 0.871 0.9056
0.242 51.0 11118 0.2061 0.9086 0.9899 0.9841 -1.0 0.2645 0.9143 0.4892 0.9393 0.9403 -1.0 0.2944 0.9427 0.9296 0.9586 0.8875 0.9219
0.242 52.0 11336 0.2277 0.9027 0.9899 0.977 -1.0 0.2558 0.9091 0.4853 0.9342 0.9364 -1.0 0.3218 0.9415 0.9225 0.9541 0.883 0.9188
0.2273 53.0 11554 0.2193 0.9003 0.9899 0.9786 -1.0 0.1985 0.9089 0.4863 0.9331 0.9336 -1.0 0.2275 0.9399 0.9176 0.9497 0.883 0.9175
0.2273 54.0 11772 0.2055 0.9067 0.99 0.9843 -1.0 0.2164 0.9123 0.4885 0.9383 0.9395 -1.0 0.25 0.9434 0.9294 0.9582 0.884 0.9208
0.2273 55.0 11990 0.2014 0.9134 0.99 0.9861 -1.0 0.3274 0.9161 0.4902 0.9436 0.9449 -1.0 0.35 0.9468 0.9284 0.9572 0.8985 0.9327
0.234 56.0 12208 0.1938 0.9136 0.9894 0.9798 0.0 0.1319 0.9192 0.4944 0.9414 0.9432 0.0 0.15 0.9488 0.9362 0.9618 0.891 0.9245
0.234 57.0 12426 0.2148 0.9022 0.9899 0.9807 -1.0 0.2163 0.9063 0.4852 0.934 0.9362 -1.0 0.2269 0.9405 0.9152 0.9477 0.8891 0.9246
0.2155 58.0 12644 0.2112 0.9039 0.99 0.9846 -1.0 0.1787 0.909 0.4887 0.9346 0.9357 -1.0 0.2038 0.9402 0.9321 0.9596 0.8756 0.9117
0.2155 59.0 12862 0.1872 0.9218 0.99 0.9802 0.0 0.2209 0.9276 0.4941 0.9469 0.9484 0.0 0.255 0.9527 0.9366 0.9606 0.907 0.9362
0.2083 60.0 13080 0.1816 0.9239 0.9898 0.9836 -1.0 0.2794 0.9255 0.4935 0.9506 0.9512 -1.0 0.3 0.9539 0.9487 0.9701 0.899 0.9324
0.2083 61.0 13298 0.1873 0.9195 0.9899 0.9812 -1.0 0.2767 0.9244 0.4946 0.9463 0.9476 -1.0 0.3333 0.9506 0.9407 0.9636 0.8982 0.9316
0.2119 62.0 13516 0.1796 0.9246 0.9897 0.9834 0.0 0.1997 0.9286 0.4955 0.9509 0.952 0.0 0.2458 0.957 0.9383 0.9645 0.9109 0.9395
0.2119 63.0 13734 0.1725 0.9309 0.99 0.9843 -1.0 0.2467 0.9362 0.4976 0.9557 0.9558 -1.0 0.265 0.9589 0.9452 0.9678 0.9166 0.9438
0.2119 64.0 13952 0.1780 0.9334 0.99 0.9848 0.0 0.2257 0.9383 0.4992 0.9562 0.9569 0.0 0.2708 0.9616 0.9515 0.9701 0.9153 0.9438
0.1945 65.0 14170 0.1732 0.9324 0.99 0.9864 -1.0 0.2813 0.9385 0.4984 0.9577 0.9582 -1.0 0.3136 0.961 0.9476 0.9703 0.9173 0.9461
0.1945 66.0 14388 0.1703 0.9388 0.99 0.9866 0.0 0.3105 0.944 0.5006 0.9618 0.9623 0.0 0.3222 0.9664 0.9518 0.9729 0.9258 0.9517
0.1911 67.0 14606 0.1773 0.9314 0.9899 0.9791 0.0 0.2407 0.9368 0.4968 0.9523 0.9541 0.0 0.3385 0.958 0.9479 0.9673 0.9149 0.941
0.1911 68.0 14824 0.1742 0.9309 0.99 0.9831 0.0 0.213 0.9385 0.4981 0.9554 0.9561 0.0 0.2767 0.9608 0.9422 0.9657 0.9195 0.9464
0.1827 69.0 15042 0.1525 0.9428 0.99 0.9894 -1.0 0.2571 0.9482 0.5015 0.9645 0.965 -1.0 0.3 0.9687 0.9544 0.9751 0.9312 0.9549
0.1827 70.0 15260 0.1644 0.9357 0.9899 0.9848 -1.0 0.2394 0.9413 0.4985 0.9558 0.9574 -1.0 0.2536 0.9617 0.9511 0.9709 0.9202 0.9439
0.1827 71.0 15478 0.1531 0.9415 0.99 0.9845 -1.0 0.2432 0.9481 0.503 0.9627 0.9636 -1.0 0.3393 0.9679 0.9562 0.9749 0.9268 0.9524
0.1777 72.0 15696 0.1636 0.9426 0.99 0.987 -1.0 0.2772 0.9439 0.4987 0.9623 0.9631 -1.0 0.2923 0.9667 0.9579 0.9732 0.9274 0.953
0.1777 73.0 15914 0.1516 0.9423 0.99 0.9846 0.0 0.2665 0.9485 0.5022 0.9621 0.9627 0.0 0.29 0.9673 0.956 0.9731 0.9285 0.9523
0.1838 74.0 16132 0.1448 0.9465 0.995 0.9846 -1.0 0.5659 0.9492 0.503 0.9665 0.9668 -1.0 0.6182 0.969 0.9629 0.9776 0.9301 0.956
0.1838 75.0 16350 0.1681 0.9385 0.9897 0.9827 -1.0 0.2587 0.9407 0.5007 0.9609 0.9617 -1.0 0.4722 0.9642 0.9564 0.9743 0.9205 0.949
0.1775 76.0 16568 0.1469 0.9461 0.9899 0.9817 -1.0 0.1993 0.9536 0.5029 0.9631 0.9643 -1.0 0.2706 0.9692 0.956 0.9722 0.9362 0.9564
0.1775 77.0 16786 0.1396 0.953 0.99 0.9819 -1.0 0.213 0.9618 0.5051 0.9699 0.971 -1.0 0.2735 0.9759 0.9674 0.9805 0.9385 0.9615
0.171 78.0 17004 0.1364 0.9536 0.9901 0.9896 0.0 0.3345 0.9582 0.5062 0.972 0.9723 0.0 0.3722 0.9747 0.9615 0.9783 0.9457 0.9663
0.171 79.0 17222 0.1586 0.9394 0.9947 0.9835 -1.0 0.5025 0.943 0.5013 0.9608 0.9623 -1.0 0.5875 0.9658 0.9554 0.9731 0.9233 0.9515
0.171 80.0 17440 0.1417 0.9494 0.9901 0.9805 -1.0 0.2141 0.9565 0.5041 0.9656 0.9671 -1.0 0.2429 0.9718 0.9601 0.9762 0.9386 0.9581
0.1642 81.0 17658 0.1303 0.9573 0.9901 0.9847 -1.0 0.2475 0.963 0.5064 0.9724 0.9729 -1.0 0.2875 0.977 0.9656 0.9787 0.949 0.9671
0.1642 82.0 17876 0.1348 0.9499 0.9901 0.9849 -1.0 0.2481 0.9571 0.5046 0.9701 0.9702 -1.0 0.2679 0.9745 0.9607 0.9787 0.9391 0.9618
0.1573 83.0 18094 0.1325 0.9511 0.9901 0.9838 -1.0 0.2714 0.9552 0.504 0.97 0.9705 -1.0 0.3167 0.9735 0.9609 0.9786 0.9413 0.9623
0.1573 84.0 18312 0.1255 0.9585 0.99 0.9849 0.0 0.2656 0.9656 0.5069 0.9733 0.9738 0.0 0.2929 0.9783 0.9668 0.9807 0.9502 0.9669
0.1437 85.0 18530 0.1481 0.9479 0.99 0.9848 -1.0 0.2646 0.9525 0.5027 0.9653 0.9663 -1.0 0.2692 0.9702 0.9578 0.9738 0.938 0.9587
0.1437 86.0 18748 0.1236 0.9539 0.99 0.985 -1.0 0.3818 0.959 0.507 0.9717 0.9723 -1.0 0.3955 0.9741 0.9652 0.9803 0.9425 0.9643
0.1437 87.0 18966 0.1293 0.9595 0.99 0.9848 0.0 0.3046 0.9663 0.5059 0.9736 0.9745 0.0 0.43 0.9797 0.9698 0.9815 0.9492 0.9676
0.1532 88.0 19184 0.1295 0.9525 0.9901 0.9891 0.0 0.3118 0.9579 0.5054 0.9727 0.9727 0.0 0.3385 0.9762 0.9591 0.9785 0.9458 0.9669
0.1532 89.0 19402 0.1317 0.9556 0.99 0.9844 -1.0 0.2569 0.9589 0.5052 0.9708 0.9714 -1.0 0.2792 0.975 0.9644 0.9779 0.9468 0.965
0.1465 90.0 19620 0.1216 0.9555 0.99 0.9855 -1.0 0.4916 0.9614 0.5068 0.9751 0.9756 -1.0 0.5125 0.9777 0.9625 0.9799 0.9484 0.9713
0.1465 91.0 19838 0.1357 0.953 0.9901 0.985 0.0 0.3426 0.956 0.503 0.9694 0.9705 0.0 0.42 0.9738 0.9611 0.9757 0.945 0.9653
0.145 92.0 20056 0.1242 0.9582 0.9901 0.9898 -1.0 0.2929 0.9627 0.5062 0.9742 0.9751 -1.0 0.3583 0.9776 0.9652 0.9783 0.9511 0.9718
0.145 93.0 20274 0.1320 0.956 0.99 0.9843 -1.0 0.2826 0.9601 0.505 0.9713 0.9724 -1.0 0.3273 0.9751 0.9664 0.9801 0.9455 0.9647
0.145 94.0 20492 0.1276 0.9608 0.9898 0.9819 -1.0 0.3052 0.966 0.5045 0.9746 0.9759 -1.0 0.3583 0.9784 0.9672 0.9805 0.9544 0.9713
0.1454 95.0 20710 0.1237 0.957 0.99 0.9845 0.0 0.2527 0.9641 0.5058 0.9743 0.9744 0.0 0.275 0.9787 0.9628 0.9799 0.9512 0.9689
0.1454 96.0 20928 0.1234 0.9622 0.99 0.9858 0.0 0.3156 0.9678 0.5072 0.977 0.9775 0.0 0.3318 0.9808 0.9721 0.984 0.9523 0.9709
0.1517 97.0 21146 0.1255 0.9527 0.9901 0.9846 -1.0 0.295 0.9576 0.505 0.9714 0.972 -1.0 0.3036 0.9756 0.9634 0.9797 0.942 0.9643
0.1517 98.0 21364 0.1348 0.9501 0.9897 0.9805 0.0 0.2548 0.9558 0.5031 0.9665 0.9677 0.0 0.3833 0.9716 0.9594 0.9753 0.9408 0.9601
0.1435 99.0 21582 0.1255 0.9609 0.99 0.9855 -1.0 0.3144 0.9644 0.5077 0.9749 0.9761 -1.0 0.4125 0.9794 0.9688 0.9818 0.953 0.9705
0.1435 100.0 21800 0.1272 0.9568 0.99 0.9848 -1.0 0.3143 0.9595 0.5045 0.9717 0.9726 -1.0 0.3385 0.9755 0.9619 0.9762 0.9517 0.9689

Framework versions

  • Transformers 4.42.3
  • Pytorch 2.3.1+cu121
  • Datasets 2.20.0
  • Tokenizers 0.19.1