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rfdetr-roadsign-agree1-large-noaug

merve / rfdetr-roadsign-agree1-large-noaug

Run on huggingface.co
huggingface.co
Total runs: 17
24-hour runs: 0
7-day runs: -11
30-day runs: -6
Model's Last Updated: June 27 2026
object-detection

Introduction of rfdetr-roadsign-agree1-large-noaug

Model Details of rfdetr-roadsign-agree1-large-noaug

rfdetr-roadsign-agree1-large-noaug

This model is a fine-tuned version of Roboflow/rf-detr-large on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 15.1008
  • Map: 0.6845
  • Map 50: 0.7721
  • Map 75: 0.7575
  • Map Small: -1.0
  • Map Medium: 0.4507
  • Map Large: 0.6917
  • Mar 1: 0.8025
  • Mar 10: 0.8845
  • Mar 100: 0.8855
  • Mar Small: -1.0
  • Mar Medium: 0.7414
  • Mar Large: 0.8885
  • Map Bus Stop: 0.7874
  • Mar 100 Bus Stop: 0.9
  • Map Do Not Enter: 0.9318
  • Mar 100 Do Not Enter: 0.9471
  • Map Do Not Stop: 0.6666
  • Mar 100 Do Not Stop: 0.9
  • Map Do Not Turn L: 0.7939
  • Mar 100 Do Not Turn L: 0.9167
  • Map Do Not Turn R: 0.7398
  • Mar 100 Do Not Turn R: 0.975
  • Map Do Not U Turn: 0.4199
  • Mar 100 Do Not U Turn: 0.8889
  • Map Enter Left Lane: 0.5538
  • Mar 100 Enter Left Lane: 0.9
  • Map Green Light: 0.6233
  • Mar 100 Green Light: 0.75
  • Map Left Right Lane: 0.8308
  • Mar 100 Left Right Lane: 0.9231
  • Map No Parking: 0.6834
  • Mar 100 No Parking: 0.9286
  • Map Parking: 0.8022
  • Mar 100 Parking: 0.86
  • Map Ped Crossing: 0.8679
  • Mar 100 Ped Crossing: 0.9571
  • Map Ped Zebra Cross: 0.8567
  • Mar 100 Ped Zebra Cross: 0.9
  • Map Railway Crossing: 0.6538
  • Mar 100 Railway Crossing: 0.9286
  • Map Red Light: 0.5374
  • Mar 100 Red Light: 0.8105
  • Map Stop: 0.8247
  • Mar 100 Stop: 0.9467
  • Map T Intersection L: 0.6582
  • Mar 100 T Intersection L: 0.9444
  • Map Traffic Light: 0.5362
  • Mar 100 Traffic Light: 0.7571
  • Map U Turn: 0.7833
  • Mar 100 U Turn: 0.8857
  • Map Warning: 0.6425
  • Mar 100 Warning: 0.8471
  • Map Yellow Light: 0.1808
  • Mar 100 Yellow Light: 0.7286
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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
  • lr_scheduler_type: cosine
  • lr_scheduler_warmup_steps: 0.05
  • num_epochs: 30
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 Bus Stop Mar 100 Bus Stop Map Do Not Enter Mar 100 Do Not Enter Map Do Not Stop Mar 100 Do Not Stop Map Do Not Turn L Mar 100 Do Not Turn L Map Do Not Turn R Mar 100 Do Not Turn R Map Do Not U Turn Mar 100 Do Not U Turn Map Enter Left Lane Mar 100 Enter Left Lane Map Green Light Mar 100 Green Light Map Left Right Lane Mar 100 Left Right Lane Map No Parking Mar 100 No Parking Map Parking Mar 100 Parking Map Ped Crossing Mar 100 Ped Crossing Map Ped Zebra Cross Mar 100 Ped Zebra Cross Map Railway Crossing Mar 100 Railway Crossing Map Red Light Mar 100 Red Light Map Stop Mar 100 Stop Map T Intersection L Mar 100 T Intersection L Map Traffic Light Mar 100 Traffic Light Map U Turn Mar 100 U Turn Map Warning Mar 100 Warning Map Yellow Light Mar 100 Yellow Light
151.9024 1.0 142 32.8617 0.0001 0.0003 0.0 -1.0 0.0 0.0001 0.001 0.0085 0.024 -1.0 0.0 0.0286 0.0 0.0 0.0 0.0 0.0 0.0444 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0011 0.0857 0.0003 0.06 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0429 0.0 0.1429 0.0 0.0 0.0001 0.1286
17.7572 2.0 284 24.1080 0.0001 0.0006 0.0 -1.0 0.0 0.0001 0.0042 0.0152 0.0384 -1.0 0.0 0.0389 0.0 0.0 0.0002 0.0412 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0002 0.2857 0.0 0.0 0.0002 0.0429 0.0 0.0 0.0009 0.14 0.0 0.0 0.0001 0.0857 0.0 0.0 0.0015 0.2118 0.0 0.0
13.5777 3.0 426 17.9923 0.0016 0.0039 0.0007 -1.0 0.0 0.0016 0.0367 0.0931 0.1338 -1.0 0.0133 0.1386 0.0 0.0 0.0032 0.5353 0.0 0.0 0.0 0.0 0.0004 0.3125 0.0 0.0 0.0 0.0 0.0001 0.1 0.0 0.0 0.0013 0.0214 0.0 0.0 0.0116 0.6214 0.0 0.0 0.0 0.0 0.0 0.0105 0.0137 0.5267 0.0 0.0 0.0004 0.0929 0.0 0.0 0.0019 0.5882 0.0 0.0
11.8330 4.0 568 14.0392 0.0122 0.0213 0.0133 -1.0 0.0039 0.0124 0.2033 0.2794 0.315 -1.0 0.3771 0.3188 0.0 0.0 0.0451 0.8059 0.0022 0.1222 0.0 0.0 0.0101 0.825 0.066 0.5333 0.0029 0.66 0.008 0.4 0.0566 0.3692 0.0015 0.0643 0.0 0.0 0.0469 0.7857 0.0 0.0 0.0 0.0 0.0007 0.2053 0.0055 0.6867 0.0 0.0 0.0031 0.4929 0.0 0.0 0.0069 0.6647 0.0 0.0
10.9088 5.0 710 13.6745 0.0244 0.0333 0.0258 -1.0 0.0622 0.0229 0.4086 0.5208 0.5406 -1.0 0.4367 0.5434 0.0 0.0 0.1131 0.9059 0.0065 0.8667 0.0023 0.1667 0.0354 0.75 0.0131 0.7556 0.003 0.36 0.0038 0.595 0.0286 0.8615 0.0399 0.75 0.0 0.0 0.0508 0.8571 0.0207 0.84 0.039 0.7714 0.0157 0.5211 0.026 0.66 0.0068 0.1889 0.0152 0.6429 0.0 0.0 0.056 0.7882 0.0371 0.0714
10.1246 6.0 852 11.9059 0.0622 0.0828 0.0741 -1.0 0.0858 0.0684 0.5484 0.6825 0.7082 -1.0 0.6629 0.7038 0.0042 0.2333 0.208 0.9 0.0566 0.9222 0.0168 0.95 0.0223 0.8375 0.0296 0.8778 0.1579 0.96 0.154 0.655 0.0975 0.9231 0.0591 0.8143 0.0277 0.16 0.0365 0.8429 0.0334 0.74 0.0104 0.8286 0.0874 0.7474 0.0249 0.7933 0.0642 0.9222 0.039 0.6643 0.0 0.0 0.1664 0.8294 0.0112 0.2714
9.4682 7.0 994 12.3341 0.148 0.1856 0.1781 -1.0 0.1383 0.1584 0.6807 0.8274 0.848 -1.0 0.7086 0.8472 0.0405 0.7333 0.1252 0.9 0.3002 0.9333 0.2242 0.95 0.0426 0.9125 0.0695 0.9111 0.1116 0.96 0.2741 0.79 0.4248 0.9077 0.1842 0.85 0.0216 0.86 0.1419 0.9143 0.3032 0.9 0.0906 0.8571 0.0869 0.7421 0.1354 0.7867 0.0559 0.9 0.1034 0.7143 0.061 0.8143 0.2845 0.8706 0.0259 0.6
9.4100 8.0 1136 12.8237 0.2491 0.2943 0.2849 -1.0 0.1951 0.2588 0.731 0.8582 0.8653 -1.0 0.7395 0.862 0.3797 0.7667 0.4204 0.9294 0.1764 0.9556 0.7815 0.9167 0.2217 0.95 0.1045 0.9444 0.3205 0.88 0.3868 0.78 0.5481 0.8923 0.2353 0.85 0.0575 0.88 0.1889 0.9357 0.1812 0.94 0.0634 0.8429 0.0967 0.7684 0.1462 0.8667 0.1003 0.9333 0.2027 0.7429 0.2489 0.8714 0.3182 0.8824 0.0531 0.6429
8.8955 9.0 1278 13.2693 0.3449 0.4126 0.3968 -1.0 0.2869 0.3523 0.7483 0.8468 0.8585 -1.0 0.7267 0.8586 0.52 0.75 0.6347 0.9176 0.4669 0.9444 0.2139 0.9 0.3695 0.95 0.2043 0.8889 0.3279 0.9 0.495 0.78 0.5744 0.8769 0.469 0.8714 0.2278 0.92 0.194 0.9429 0.1745 0.92 0.1449 0.8286 0.2409 0.8 0.5924 0.88 0.1982 0.8778 0.1599 0.7643 0.4948 0.8429 0.4821 0.8294 0.0571 0.6429
8.7862 10.0 1420 13.3853 0.3916 0.4523 0.4402 -1.0 0.3731 0.3997 0.7733 0.8616 0.8677 -1.0 0.7324 0.8673 0.5851 0.7167 0.8643 0.9235 0.4982 0.9222 0.5316 0.95 0.4414 0.9375 0.3015 0.9 0.4607 0.96 0.5708 0.74 0.5458 0.9231 0.4491 0.9214 0.3866 0.86 0.2602 0.95 0.4156 0.88 0.1392 0.9571 0.2604 0.7579 0.5053 0.8733 0.1881 0.9222 0.1987 0.8143 0.239 0.8 0.2816 0.8412 0.0998 0.6714
8.3397 11.0 1562 13.7088 0.4522 0.5222 0.5106 -1.0 0.4679 0.461 0.7938 0.8698 0.8819 -1.0 0.7452 0.8861 0.7126 0.75 0.8573 0.9294 0.4449 0.9222 0.7509 0.95 0.4772 0.9625 0.1537 0.8667 0.3837 0.94 0.5807 0.76 0.7965 0.9308 0.5086 0.9143 0.4937 0.84 0.352 0.9643 0.5972 0.88 0.1705 0.9857 0.346 0.8053 0.6109 0.9067 0.1558 0.9 0.4238 0.7643 0.2343 0.9143 0.366 0.8471 0.0806 0.7857
7.9370 12.0 1704 13.8914 0.4761 0.5438 0.5294 -1.0 0.4947 0.4757 0.8 0.8747 0.8916 -1.0 0.7457 0.8947 0.6886 0.8167 0.9089 0.9412 0.4804 0.9667 0.6339 0.9333 0.3186 0.9625 0.2082 0.9333 0.2176 0.92 0.65 0.81 0.766 0.9077 0.6265 0.9429 0.4102 0.84 0.5417 0.95 0.6668 0.9 0.1959 0.9857 0.3033 0.7947 0.6644 0.9133 0.2093 0.9444 0.289 0.75 0.5987 0.8571 0.4173 0.9118 0.2018 0.7429
7.4761 13.0 1846 13.9790 0.5169 0.5925 0.5735 -1.0 0.5008 0.5231 0.8087 0.8867 0.8931 -1.0 0.7005 0.8985 0.6375 0.7667 0.8919 0.9353 0.4213 0.9444 0.7818 0.95 0.5409 0.95 0.3786 0.9444 0.3141 0.9 0.6295 0.77 0.8418 0.9231 0.5306 0.9 0.3769 0.88 0.4342 0.9643 0.7926 0.94 0.2766 0.9857 0.3853 0.7842 0.7604 0.9067 0.1879 0.9444 0.4333 0.7857 0.506 0.8857 0.4008 0.8941 0.3336 0.8
7.1662 14.0 1988 14.3093 0.5384 0.6213 0.6081 -1.0 0.5256 0.5387 0.8114 0.8958 0.9009 -1.0 0.721 0.9072 0.7578 0.9167 0.9098 0.9471 0.4333 0.9444 0.7761 0.9167 0.5267 0.9375 0.3232 0.9222 0.3677 0.92 0.6046 0.77 0.8341 0.9231 0.5773 0.9429 0.4458 0.9 0.4031 0.9571 0.6844 0.94 0.2046 0.9429 0.4213 0.7842 0.8036 0.9 0.2201 0.9333 0.5607 0.8071 0.5671 0.9286 0.4679 0.8706 0.4167 0.8143
7.1712 15.0 2130 14.1171 0.5689 0.6443 0.6281 -1.0 0.4952 0.5692 0.8006 0.892 0.9006 -1.0 0.7138 0.9073 0.7389 0.7833 0.9278 0.9412 0.4654 0.9667 0.9163 0.95 0.4667 0.95 0.4616 0.9556 0.3138 0.94 0.5629 0.74 0.8616 0.9231 0.6487 0.9429 0.4788 0.86 0.752 0.9786 0.8153 0.96 0.2412 0.9857 0.3166 0.8105 0.8035 0.9267 0.4169 0.9111 0.5084 0.8071 0.5379 0.8714 0.428 0.8941 0.2846 0.8143
6.7269 16.0 2272 14.1679 0.6027 0.6888 0.6705 -1.0 0.5405 0.6059 0.8171 0.8968 0.9001 -1.0 0.7567 0.9052 0.7275 0.7667 0.9377 0.9471 0.3194 0.9444 0.869 0.9167 0.7249 0.975 0.4045 0.9333 0.3805 0.94 0.6699 0.8 0.8662 0.9385 0.6768 0.9643 0.581 0.86 0.7159 0.9714 0.7891 0.92 0.3338 0.9857 0.4462 0.7789 0.8599 0.9067 0.2917 0.9333 0.547 0.8 0.6028 0.8571 0.5601 0.9059 0.353 0.8571
6.3449 17.0 2414 14.1885 0.613 0.6897 0.6707 -1.0 0.4953 0.619 0.8169 0.8957 0.9027 -1.0 0.7295 0.9091 0.7487 0.7833 0.9315 0.9529 0.4021 0.9556 0.9495 0.95 0.6428 0.975 0.3497 0.9444 0.41 0.92 0.661 0.78 0.852 0.9231 0.6554 0.95 0.7156 0.88 0.7742 0.9786 0.8163 0.92 0.3823 0.9857 0.4688 0.8263 0.854 0.9267 0.3352 0.9333 0.4812 0.7571 0.6273 0.8857 0.4997 0.9 0.3147 0.8286
6.3178 18.0 2556 14.3209 0.6391 0.7168 0.705 -1.0 0.5785 0.6408 0.8328 0.9027 0.9064 -1.0 0.7681 0.9069 0.8032 0.9667 0.9229 0.9412 0.5115 0.9556 0.9096 0.9333 0.691 0.975 0.3382 0.9444 0.4191 0.94 0.6591 0.755 0.8627 0.9231 0.7207 0.9357 0.6145 0.9 0.8331 0.9714 0.8239 0.94 0.3948 0.9714 0.5913 0.8053 0.8642 0.9533 0.441 0.9444 0.5625 0.8071 0.5176 0.8714 0.5832 0.8294 0.3575 0.7714
5.9675 19.0 2698 14.5537 0.652 0.7336 0.7177 -1.0 0.5107 0.6554 0.8216 0.8947 0.9006 -1.0 0.699 0.9028 0.7721 0.7833 0.9233 0.9353 0.6121 0.9333 0.92 0.95 0.7538 0.9875 0.4183 0.9444 0.5311 0.96 0.6082 0.715 0.847 0.9538 0.7269 0.9429 0.7274 0.92 0.7512 0.9571 0.7813 0.94 0.3315 0.9571 0.5407 0.8053 0.8402 0.9133 0.5508 0.9333 0.6015 0.7714 0.6084 0.9286 0.5576 0.8941 0.2892 0.7857
6.0040 20.0 2840 14.6292 0.6375 0.7159 0.6994 -1.0 0.4473 0.6447 0.8217 0.8993 0.9038 -1.0 0.7862 0.9067 0.7543 0.8 0.9265 0.9412 0.5416 0.9222 0.8835 0.9333 0.6725 0.9875 0.3505 0.9222 0.439 0.92 0.6328 0.755 0.8326 0.9308 0.7136 0.95 0.7481 0.92 0.8323 0.9643 0.8522 0.94 0.4389 0.9571 0.4798 0.7947 0.8199 0.9533 0.4633 0.9333 0.5616 0.8 0.5966 0.9 0.636 0.9118 0.212 0.8429
5.4589 21.0 2982 14.8683 0.676 0.7539 0.7376 -1.0 0.4478 0.6846 0.8181 0.8925 0.8935 -1.0 0.7057 0.8967 0.8151 0.8333 0.9426 0.9529 0.5209 0.9444 0.899 0.9333 0.5937 0.975 0.4961 0.9556 0.5427 0.94 0.618 0.745 0.8254 0.9231 0.7445 0.9571 0.7161 0.88 0.8827 0.9714 0.8567 0.9 0.8032 0.9571 0.469 0.7526 0.8451 0.9533 0.4897 0.9333 0.575 0.7786 0.6947 0.8571 0.6698 0.9059 0.1964 0.7143
5.4794 22.0 3124 14.8209 0.6729 0.7502 0.7313 -1.0 0.4581 0.6788 0.8197 0.9109 0.9135 -1.0 0.7786 0.9188 0.754 0.9 0.9263 0.9412 0.5868 0.9444 0.8452 0.95 0.7325 0.9875 0.495 0.9556 0.5801 0.94 0.6046 0.765 0.8208 0.9308 0.7897 0.9429 0.7617 0.88 0.8759 0.9786 0.8517 0.92 0.7279 0.9714 0.4985 0.8158 0.8433 0.9467 0.3521 0.9333 0.5414 0.7857 0.6726 0.9 0.6575 0.9235 0.214 0.8714
5.1854 23.0 3266 14.9806 0.6863 0.7658 0.7481 -1.0 0.4818 0.6909 0.8209 0.8953 0.8974 -1.0 0.7838 0.896 0.7655 0.8 0.9373 0.9471 0.6667 0.9333 0.8346 0.9333 0.8012 0.9875 0.4689 0.9444 0.5382 0.94 0.6307 0.755 0.8328 0.9462 0.7797 0.9643 0.8689 0.92 0.8717 0.9714 0.852 0.92 0.6062 0.9429 0.4835 0.7632 0.8458 0.9467 0.4504 0.9444 0.585 0.8 0.7446 0.9 0.6445 0.9 0.205 0.6857
4.9699 24.0 3408 14.9073 0.6865 0.7729 0.755 -1.0 0.5094 0.6892 0.8145 0.8944 0.8978 -1.0 0.7862 0.8999 0.7998 0.8833 0.9255 0.9353 0.7016 0.9222 0.8579 0.95 0.7848 1.0 0.459 0.9222 0.5312 0.9 0.635 0.745 0.8556 0.9385 0.7331 0.9429 0.8168 0.88 0.8757 0.9571 0.8586 0.92 0.5792 0.9286 0.53 0.8105 0.817 0.94 0.5394 0.9444 0.5736 0.7857 0.6952 0.8857 0.6386 0.9059 0.2076 0.7571
4.8681 25.0 3550 15.0810 0.6936 0.7775 0.7619 -1.0 0.4749 0.7006 0.8102 0.8951 0.8966 -1.0 0.7624 0.898 0.7719 0.9 0.9365 0.9412 0.7042 0.9111 0.8552 0.95 0.811 0.9875 0.4438 0.9222 0.5807 0.94 0.6307 0.725 0.8295 0.9154 0.7247 0.9429 0.8171 0.88 0.8786 0.9643 0.8718 0.92 0.6671 0.9429 0.534 0.8053 0.8245 0.94 0.5276 0.9444 0.5799 0.7857 0.7323 0.8714 0.6534 0.9118 0.1916 0.7286
4.7608 26.0 3692 15.0759 0.6818 0.7663 0.7565 -1.0 0.4707 0.6874 0.8053 0.8876 0.8909 -1.0 0.7452 0.891 0.7718 0.8667 0.9332 0.9529 0.6885 0.9222 0.7937 0.9167 0.7388 0.9875 0.4128 0.9 0.5357 0.94 0.6185 0.755 0.8417 0.9385 0.6902 0.9429 0.8026 0.9 0.877 0.9643 0.8569 0.92 0.6397 0.9286 0.5185 0.7789 0.8314 0.9267 0.6288 0.9444 0.5591 0.7643 0.7774 0.8714 0.6242 0.8882 0.1763 0.7
4.5169 27.0 3834 15.1649 0.6806 0.7686 0.7533 -1.0 0.5089 0.6844 0.806 0.889 0.8895 -1.0 0.7924 0.8898 0.7867 0.85 0.9338 0.9471 0.6803 0.9222 0.8001 0.9333 0.7766 1.0 0.429 0.9 0.5538 0.9 0.623 0.74 0.8368 0.9231 0.6396 0.9214 0.7978 0.92 0.8809 0.9571 0.8584 0.9 0.6101 0.9429 0.5453 0.7737 0.8166 0.94 0.5665 0.9444 0.5647 0.7643 0.7582 0.9 0.6182 0.9 0.2157 0.7
4.4554 28.0 3976 15.1190 0.6809 0.7684 0.7539 -1.0 0.4675 0.6863 0.8018 0.8874 0.8893 -1.0 0.7448 0.8909 0.7719 0.8833 0.9329 0.9412 0.6819 0.9222 0.7836 0.9 0.7398 0.975 0.4142 0.9111 0.5538 0.9 0.6179 0.73 0.8356 0.9231 0.6536 0.9286 0.751 0.9 0.8761 0.9643 0.8567 0.9 0.6525 0.9286 0.5335 0.8053 0.8313 0.9333 0.6371 0.9444 0.5498 0.7714 0.785 0.8857 0.6395 0.9 0.2011 0.7286
4.6058 29.0 4118 15.1376 0.6803 0.7685 0.7545 -1.0 0.4505 0.6869 0.8019 0.8872 0.8884 -1.0 0.7552 0.8909 0.7873 0.9 0.9318 0.9471 0.6666 0.9 0.7936 0.95 0.7398 0.975 0.4204 0.9 0.5652 0.9 0.6041 0.735 0.8346 0.9231 0.6651 0.9214 0.7664 0.88 0.8667 0.9571 0.8568 0.92 0.6539 0.9429 0.5348 0.7895 0.8246 0.9467 0.6303 0.9444 0.5504 0.7571 0.7851 0.8857 0.6432 0.8529 0.1659 0.7286
4.3633 30.0 4260 15.1008 0.6845 0.7721 0.7575 -1.0 0.4507 0.6917 0.8025 0.8845 0.8855 -1.0 0.7414 0.8885 0.7874 0.9 0.9318 0.9471 0.6666 0.9 0.7939 0.9167 0.7398 0.975 0.4199 0.8889 0.5538 0.9 0.6233 0.75 0.8308 0.9231 0.6834 0.9286 0.8022 0.86 0.8679 0.9571 0.8567 0.9 0.6538 0.9286 0.5374 0.8105 0.8247 0.9467 0.6582 0.9444 0.5362 0.7571 0.7833 0.8857 0.6425 0.8471 0.1808 0.7286
Framework versions
  • Transformers 5.12.1
  • Pytorch 2.12.1+cu130
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Runs of merve rfdetr-roadsign-agree1-large-noaug on huggingface.co

17
Total runs
0
24-hour runs
0
3-day runs
-11
7-day runs
-6
30-day runs

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rfdetr-roadsign-agree1-large-noaug huggingface.co

rfdetr-roadsign-agree1-large-noaug huggingface.co is an AI model on huggingface.co that provides rfdetr-roadsign-agree1-large-noaug's model effect (), which can be used instantly with this merve rfdetr-roadsign-agree1-large-noaug model. huggingface.co supports a free trial of the rfdetr-roadsign-agree1-large-noaug model, and also provides paid use of the rfdetr-roadsign-agree1-large-noaug. Support call rfdetr-roadsign-agree1-large-noaug model through api, including Node.js, Python, http.

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rfdetr-roadsign-agree1-large-noaug install

rfdetr-roadsign-agree1-large-noaug is an open source model from GitHub that offers a free installation service, and any user can find rfdetr-roadsign-agree1-large-noaug on GitHub to install. At the same time, huggingface.co provides the effect of rfdetr-roadsign-agree1-large-noaug install, users can directly use rfdetr-roadsign-agree1-large-noaug installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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rfdetr-roadsign-agree1-large-noaug huggingface.co Url

Provider of rfdetr-roadsign-agree1-large-noaug huggingface.co

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