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rfdetr-roadsign-agree2-large-noaug

merve / rfdetr-roadsign-agree2-large-noaug

Run on huggingface.co
huggingface.co
Total runs: 13
24-hour runs: 0
7-day runs: -3
30-day runs: -3
Model's Last Updated: June 27 2026
object-detection

Introduction of rfdetr-roadsign-agree2-large-noaug

Model Details of rfdetr-roadsign-agree2-large-noaug

rfdetr-roadsign-agree2-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: 14.5642
  • Map: 0.6232
  • Map 50: 0.7305
  • Map 75: 0.6854
  • Map Small: 0.5934
  • Map Medium: 0.3964
  • Map Large: 0.6258
  • Mar 1: 0.7795
  • Mar 10: 0.8595
  • Mar 100: 0.8674
  • Mar Small: 0.8
  • Mar Medium: 0.5161
  • Mar Large: 0.8801
  • Map Bus Stop: -1.0
  • Mar 100 Bus Stop: -1.0
  • Map Do Not Enter: 0.7149
  • Mar 100 Do Not Enter: 0.8333
  • Map Do Not Stop: 0.4899
  • Mar 100 Do Not Stop: 0.94
  • Map Do Not Turn L: 0.4096
  • Mar 100 Do Not Turn L: 0.875
  • Map Do Not Turn R: 0.6172
  • Mar 100 Do Not Turn R: 1.0
  • Map Do Not U Turn: 0.5958
  • Mar 100 Do Not U Turn: 0.9375
  • Map Enter Left Lane: 0.8422
  • Mar 100 Enter Left Lane: 0.94
  • Map Green Light: 0.5393
  • Mar 100 Green Light: 0.8364
  • Map Left Right Lane: 0.9064
  • Mar 100 Left Right Lane: 0.95
  • Map No Parking: 0.4959
  • Mar 100 No Parking: 0.9467
  • Map Parking: 0.9
  • Mar 100 Parking: 0.9
  • Map Ped Crossing: 0.5538
  • Mar 100 Ped Crossing: 0.9111
  • Map Ped Zebra Cross: 0.6284
  • Mar 100 Ped Zebra Cross: 0.8889
  • Map Railway Crossing: 0.7265
  • Mar 100 Railway Crossing: 0.9067
  • Map Red Light: 0.3009
  • Mar 100 Red Light: 0.6583
  • Map Stop: 0.8077
  • Mar 100 Stop: 0.8889
  • Map T Intersection L: 0.7483
  • Mar 100 T Intersection L: 0.95
  • Map Traffic Light: 0.2374
  • Mar 100 Traffic Light: 0.5357
  • Map U Turn: 0.824
  • Mar 100 U Turn: 0.85
  • Map Warning: 0.7575
  • Mar 100 Warning: 0.9
  • Map Yellow Light: 0.3682
  • Mar 100 Yellow Light: 0.7
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
175.8652 1.0 133 30.5025 0.0001 0.0005 0.0 0.0 0.0 0.0001 0.0042 0.02 0.0282 0.0 0.0 0.0293 -1.0 -1.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0005 0.05 0.0005 0.2 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0 0.0278 0.0 0.0 0.0 0.0 0.0 0.0 0.0004 0.0111 0.0 0.0 0.0001 0.0286 0.0 0.0 0.0005 0.2462 0.0 0.0
18.2403 2.0 266 19.0123 0.0001 0.0005 0.0 0.0 0.0 0.0001 0.0028 0.0199 0.0639 0.0 0.0 0.065 0.0 0.0 0.0 0.0 0.0 0.0 0.0005 0.45 0.0012 0.2062 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 0.0001 0.1556 0.0 0.0 0.0 0.0286 0.0 0.0 0.0004 0.4385 0.0 0.0 -1.0 -1.0
11.9882 3.0 399 14.0584 0.0095 0.0214 0.0081 0.0 0.0133 0.0096 0.1315 0.2084 0.2425 0.0 0.0944 0.2502 0.0098 0.075 0.0144 0.1333 0.007 0.65 0.0246 0.65 0.0819 0.7875 0.0 0.0 0.001 0.2318 0.0012 0.4375 0.0201 0.5867 0.0 0.0 0.001 0.0278 0.0 0.0 0.0 0.0 0.0001 0.0833 0.0108 0.4 0.0 0.0 0.0007 0.2643 0.0 0.0 0.0183 0.5231 0.0 0.0 -1.0 -1.0
10.6541 4.0 532 12.9904 0.0361 0.0512 0.0437 0.0 0.1036 0.0308 0.4002 0.5407 0.5728 0.0 0.3228 0.5932 -1.0 -1.0 0.0231 0.8167 0.0265 0.7667 0.0141 0.65 0.0297 0.9 0.0593 0.8938 0.1033 0.8 0.2051 0.6591 0.0206 0.9125 0.1048 0.82 0.0 0.0 0.0166 0.9222 0.013 0.2444 0.0476 0.4733 0.0022 0.2833 0.0364 0.7778 0.0 0.0 0.0046 0.2714 0.0 0.0 0.0118 0.8154 0.0028 0.45
10.0810 5.0 665 12.7154 0.0756 0.0937 0.0885 0.199 0.1805 0.0708 0.6433 0.7638 0.7726 0.4 0.3567 0.7845 -1.0 -1.0 0.0299 0.8417 0.0562 0.8467 0.0117 0.85 0.0177 0.9 0.0539 0.8625 0.1181 0.9333 0.3339 0.5273 0.0284 0.9625 0.0865 0.76 0.1575 0.9667 0.1173 0.8611 0.0602 0.8778 0.0794 0.6733 0.0312 0.3333 0.1453 0.8667 0.0122 0.8 0.0746 0.3786 0.0254 0.85 0.0471 0.8615 0.0254 0.5
9.3312 6.0 798 13.2321 0.2036 0.2491 0.2331 0.3564 0.2622 0.2162 0.6857 0.7979 0.8093 0.7667 0.49 0.816 -1.0 -1.0 0.2939 0.825 0.1139 0.8467 0.0543 0.875 0.5486 0.95 0.1461 0.875 0.1612 0.8267 0.342 0.7591 0.1095 0.8875 0.0918 0.8067 0.4661 0.8333 0.25 0.8889 0.2743 0.9333 0.1008 0.68 0.0276 0.5167 0.0726 0.8556 0.0907 0.95 0.0251 0.4286 0.0412 0.8333 0.3319 0.9154 0.5294 0.7
9.1495 7.0 931 13.1461 0.2147 0.253 0.2415 0.234 0.3194 0.2027 0.7186 0.8062 0.8182 0.5 0.6072 0.8055 -1.0 -1.0 0.1581 0.85 0.2627 0.8667 0.0582 0.8 0.168 0.9 0.2786 0.9062 0.1875 0.88 0.4765 0.6773 0.498 0.9625 0.1469 0.8333 0.2666 0.8667 0.267 0.9111 0.4519 0.8889 0.2157 0.7933 0.0331 0.55 0.1995 0.9111 0.0369 0.975 0.0621 0.4214 0.1466 0.8167 0.3194 0.8538 0.06 0.7
8.4790 8.0 1064 13.2056 0.2764 0.3282 0.3195 0.3538 0.2663 0.2703 0.7383 0.8334 0.8489 0.5333 0.5822 0.856 -1.0 -1.0 0.3257 0.85 0.2309 0.88 0.4286 0.875 0.0634 0.85 0.1901 0.8813 0.5033 0.92 0.4681 0.8182 0.4805 0.9125 0.1735 0.9 0.3655 0.9 0.2534 0.9167 0.2526 0.8333 0.3817 0.8733 0.0746 0.6583 0.199 0.9222 0.1498 0.95 0.1063 0.4643 0.3653 0.85 0.41 0.9231 0.1057 0.8
8.2091 9.0 1197 13.9988 0.3464 0.4177 0.3645 0.5505 0.3893 0.339 0.7458 0.8419 0.8595 0.6667 0.535 0.8736 -1.0 -1.0 0.5625 0.8333 0.2741 0.9467 0.2515 0.825 0.1287 0.95 0.2618 0.8687 0.406 0.9133 0.5397 0.8545 0.6494 0.95 0.3169 0.8733 0.6295 0.9 0.2555 0.9167 0.3549 0.8889 0.4058 0.88 0.1446 0.6417 0.4503 0.9333 0.1999 0.95 0.0451 0.5214 0.2937 0.8667 0.331 0.8769 0.427 0.8
7.7067 10.0 1330 13.1980 0.3746 0.4449 0.4285 0.4644 0.4302 0.3603 0.7551 0.8496 0.8643 0.4667 0.5867 0.8739 -1.0 -1.0 0.7761 0.8583 0.2787 0.9467 0.1044 0.875 0.1542 0.95 0.3966 0.9187 0.4863 0.9067 0.5245 0.8545 0.4641 0.9125 0.3548 0.8467 0.7016 0.9 0.281 0.9333 0.4073 0.9111 0.3407 0.86 0.1882 0.7083 0.5989 0.9333 0.1936 0.95 0.173 0.4714 0.2184 0.85 0.4597 0.9 0.3899 0.8
7.7942 11.0 1463 13.3169 0.4275 0.5033 0.4635 0.4812 0.396 0.4158 0.7613 0.8529 0.867 0.5 0.5328 0.8839 -1.0 -1.0 0.6943 0.8667 0.3186 0.9267 0.3362 0.85 0.5591 0.95 0.3879 0.925 0.4816 0.8933 0.5049 0.8545 0.5805 0.95 0.2612 0.88 0.6655 0.8667 0.2945 0.9222 0.6501 0.9111 0.49 0.9267 0.187 0.75 0.6636 0.9556 0.1337 0.95 0.0957 0.4571 0.374 0.8667 0.4454 0.9385 0.4267 0.7
7.4175 12.0 1596 13.3963 0.444 0.5352 0.4899 0.398 0.3596 0.4459 0.7686 0.8414 0.8608 0.4 0.5528 0.8752 -1.0 -1.0 0.7109 0.8333 0.356 0.92 0.3023 0.85 0.3082 0.95 0.4229 0.925 0.6028 0.94 0.5569 0.8227 0.5646 0.9625 0.4266 0.9267 0.6715 0.9667 0.3064 0.9222 0.5944 0.8667 0.3227 0.8467 0.1796 0.7167 0.7665 0.9333 0.1864 0.9 0.2072 0.45 0.5439 0.8333 0.499 0.9 0.3519 0.75
7.1598 13.0 1729 13.7942 0.4517 0.5371 0.5142 0.216 0.3721 0.4568 0.7718 0.8556 0.8677 0.5 0.5356 0.8824 -1.0 -1.0 0.7416 0.875 0.4233 0.9333 0.2124 0.875 0.1946 0.9 0.3935 0.9125 0.6079 0.9533 0.5876 0.8591 0.629 0.925 0.4316 0.9267 0.5253 0.9333 0.3256 0.9222 0.6205 0.8556 0.4656 0.9467 0.2307 0.6417 0.8601 0.9667 0.2358 0.95 0.2125 0.4786 0.6531 0.85 0.3702 0.9 0.3127 0.75
6.6798 14.0 1862 13.4201 0.478 0.5742 0.5319 0.4096 0.3999 0.4832 0.7801 0.8463 0.8715 0.7 0.5778 0.8804 -1.0 -1.0 0.7553 0.8583 0.4124 0.92 0.2228 0.85 0.5591 0.95 0.4051 0.9187 0.7377 0.9133 0.5495 0.8409 0.4894 0.975 0.3861 0.9267 0.7091 0.8667 0.2844 0.9444 0.6247 0.9 0.3493 0.9067 0.2794 0.7583 0.8132 0.9 0.3143 0.95 0.2122 0.5286 0.651 0.85 0.4535 0.9231 0.3523 0.75
6.5150 15.0 1995 13.9702 0.4932 0.5858 0.5311 0.5307 0.3966 0.4928 0.7776 0.8523 0.868 0.5333 0.5667 0.8791 -1.0 -1.0 0.7286 0.8333 0.3094 0.9467 0.2359 0.875 0.802 0.95 0.5055 0.925 0.7438 0.92 0.5553 0.8091 0.5911 0.95 0.4546 0.9267 0.6723 0.8667 0.3933 0.9222 0.6592 0.8778 0.4483 0.92 0.1704 0.6417 0.7655 0.9222 0.1277 0.975 0.1873 0.5071 0.5457 0.8833 0.5843 0.9077 0.3842 0.8
6.7106 16.0 2128 13.9099 0.5682 0.6619 0.6179 0.4436 0.3977 0.5735 0.7846 0.8563 0.8715 0.5333 0.5483 0.884 -1.0 -1.0 0.7688 0.8417 0.4267 0.9667 0.2491 0.875 1.0 1.0 0.5737 0.9312 0.7001 0.94 0.5195 0.8545 0.671 0.9375 0.4825 0.9267 0.7091 0.8333 0.5314 0.9333 0.669 0.9222 0.6696 0.92 0.3112 0.7083 0.8422 0.9222 0.4074 0.95 0.2362 0.4929 0.6834 0.8667 0.5787 0.9077 0.3343 0.7
6.1769 17.0 2261 13.6266 0.571 0.6567 0.6082 0.4772 0.3889 0.5692 0.7814 0.8659 0.8818 0.5667 0.555 0.8943 -1.0 -1.0 0.7826 0.8667 0.3394 0.9467 0.3529 0.875 0.7525 1.0 0.5696 0.9375 0.7067 0.9267 0.5884 0.8364 0.7594 0.95 0.491 0.9467 0.7788 0.9 0.4444 0.9389 0.706 0.9111 0.6123 0.9533 0.1876 0.6583 0.8465 0.9333 0.4606 0.95 0.2078 0.5071 0.8358 0.8667 0.7334 0.9308 0.2637 0.8
5.8277 18.0 2394 14.0652 0.541 0.6346 0.5921 0.5923 0.37 0.5482 0.7904 0.8644 0.8806 0.7333 0.5628 0.888 -1.0 -1.0 0.777 0.8667 0.3714 0.9533 0.3138 0.9 0.3451 1.0 0.5069 0.9312 0.7572 0.94 0.5084 0.8409 0.8986 0.9625 0.4637 0.94 0.6349 0.8667 0.4108 0.9444 0.6685 0.8889 0.7066 0.9733 0.2258 0.6417 0.828 0.9333 0.2633 0.975 0.2743 0.5571 0.8306 0.8667 0.7016 0.9308 0.3344 0.7
5.6869 19.0 2527 14.2147 0.5985 0.7013 0.6682 0.5362 0.4035 0.601 0.7873 0.8575 0.8755 0.7333 0.5456 0.8863 -1.0 -1.0 0.7457 0.8583 0.4692 0.9333 0.428 0.825 0.835 1.0 0.5714 0.9375 0.8268 0.9333 0.5694 0.8364 0.7597 0.9625 0.3917 0.9333 0.6567 0.8667 0.5657 0.9444 0.6504 0.9 0.7221 0.94 0.3685 0.6833 0.8102 0.9111 0.5006 0.975 0.2286 0.5643 0.8366 0.8833 0.7661 0.9231 0.268 0.7
5.3519 20.0 2660 14.2657 0.6159 0.7118 0.6618 0.5194 0.3546 0.621 0.7921 0.8596 0.8743 0.8 0.5667 0.8797 -1.0 -1.0 0.763 0.85 0.547 0.9267 0.4589 0.875 0.4505 1.0 0.6086 0.95 0.7633 0.9267 0.5283 0.7818 0.9125 0.95 0.6305 0.9333 0.7788 0.9 0.6006 0.9222 0.692 0.9 0.7237 0.92 0.2432 0.65 0.8293 0.9222 0.6253 0.95 0.2305 0.5714 0.8454 0.8833 0.8007 0.9231 0.2857 0.75
5.2866 21.0 2793 14.4142 0.596 0.6951 0.6438 0.6176 0.3736 0.5922 0.7883 0.8644 0.8787 0.7333 0.5622 0.8854 -1.0 -1.0 0.7606 0.85 0.4707 0.94 0.4245 0.9 0.6168 0.95 0.5964 0.9375 0.8351 0.9267 0.5319 0.8182 0.7676 0.9375 0.5528 0.94 0.6932 0.9 0.6037 0.9333 0.7021 0.9111 0.7086 0.94 0.1489 0.6667 0.8138 0.9333 0.3882 0.975 0.2449 0.5357 0.8639 0.8833 0.7945 0.9462 0.4024 0.75
5.0301 22.0 2926 14.5795 0.6287 0.7234 0.6769 0.585 0.413 0.6265 0.787 0.8616 0.8774 0.7667 0.5983 0.8806 -1.0 -1.0 0.7488 0.85 0.4835 0.9267 0.4442 0.875 0.835 1.0 0.5555 0.9312 0.8275 0.94 0.5519 0.8455 0.9508 0.9625 0.5376 0.96 0.7222 0.8667 0.6163 0.9333 0.729 0.9111 0.7393 0.9 0.2724 0.675 0.8377 0.9111 0.412 0.925 0.2479 0.5357 0.85 0.8833 0.8439 0.9154 0.3687 0.8
5.0224 23.0 3059 14.3252 0.6502 0.7532 0.7061 0.6181 0.4193 0.6521 0.7988 0.8673 0.8793 0.7667 0.5628 0.8889 -1.0 -1.0 0.7524 0.8333 0.513 0.9333 0.4191 0.875 0.617 1.0 0.6261 0.9438 0.8617 0.94 0.5682 0.8455 0.876 0.9375 0.5756 0.94 0.9168 0.9333 0.5835 0.9222 0.7166 0.9222 0.7454 0.9 0.3735 0.6667 0.8182 0.9111 0.7816 0.95 0.2266 0.5429 0.8248 0.85 0.8393 0.9385 0.3689 0.8
4.5247 24.0 3192 14.4934 0.6336 0.7391 0.6944 0.5963 0.3985 0.635 0.7904 0.8599 0.8686 0.7333 0.5356 0.8807 -1.0 -1.0 0.7419 0.8417 0.5059 0.94 0.4243 0.875 0.6252 0.95 0.6184 0.9312 0.8529 0.9267 0.5513 0.8409 0.9085 0.95 0.4731 0.9467 0.8442 0.8667 0.6164 0.9278 0.6589 0.9111 0.7153 0.9467 0.2935 0.65 0.818 0.9 0.769 0.925 0.2407 0.5357 0.8248 0.85 0.8203 0.9077 0.3685 0.75
4.7118 25.0 3325 14.5532 0.6285 0.7342 0.6886 0.6889 0.3844 0.6321 0.7859 0.8636 0.8677 0.7667 0.5528 0.8766 -1.0 -1.0 0.7334 0.825 0.4818 0.92 0.399 0.85 0.6168 0.95 0.5872 0.9438 0.8419 0.9467 0.5277 0.8273 0.9062 0.9375 0.4751 0.9333 0.9 0.9 0.5732 0.9056 0.6219 0.8889 0.7435 0.94 0.282 0.7083 0.8276 0.9111 0.7855 0.95 0.2605 0.5571 0.8349 0.8667 0.8037 0.8923 0.3685 0.7
4.5587 26.0 3458 14.4636 0.6192 0.7277 0.6825 0.6805 0.3597 0.625 0.7791 0.8593 0.8699 0.8 0.5456 0.8802 -1.0 -1.0 0.7406 0.8417 0.4915 0.9133 0.4111 0.875 0.6172 1.0 0.5859 0.925 0.8217 0.94 0.5355 0.8455 0.9085 0.95 0.5354 0.9467 0.8442 0.8667 0.5877 0.9111 0.6176 0.8889 0.7541 0.9267 0.2947 0.65 0.8288 0.9111 0.6114 0.95 0.2612 0.5571 0.8053 0.8333 0.8042 0.9154 0.3277 0.75
4.3583 27.0 3591 14.5484 0.6238 0.7288 0.6846 0.6478 0.3935 0.6259 0.7819 0.8629 0.8721 0.7667 0.5433 0.8797 -1.0 -1.0 0.7277 0.85 0.5221 0.9333 0.3984 0.875 0.6172 1.0 0.6001 0.9312 0.8428 0.9267 0.5535 0.8318 0.9031 0.9375 0.4929 0.9533 0.9 0.9 0.5511 0.9111 0.6566 0.8889 0.73 0.9133 0.2678 0.6583 0.8202 0.9222 0.6741 0.975 0.2506 0.5286 0.8244 0.8833 0.7743 0.9231 0.3685 0.7
4.2415 28.0 3724 14.5687 0.624 0.7298 0.6853 0.5816 0.3933 0.6256 0.784 0.8626 0.8691 0.8 0.5383 0.8779 -1.0 -1.0 0.7023 0.8417 0.5058 0.92 0.4045 0.875 0.6172 1.0 0.5709 0.95 0.8459 0.9333 0.5344 0.8227 0.9062 0.9375 0.4856 0.94 0.9 0.9 0.5537 0.9056 0.6325 0.8889 0.7279 0.9133 0.278 0.675 0.8408 0.9222 0.7483 0.95 0.2415 0.55 0.8344 0.85 0.7826 0.9077 0.3684 0.7
4.1686 29.0 3857 14.5696 0.624 0.7323 0.6879 0.5732 0.395 0.6266 0.7796 0.8608 0.8728 0.7667 0.5306 0.8845 -1.0 -1.0 0.7182 0.8417 0.5064 0.9467 0.3997 0.875 0.6172 1.0 0.5745 0.9438 0.8436 0.92 0.5465 0.8273 0.9065 0.95 0.4961 0.9467 0.9 0.9 0.5624 0.9111 0.6242 0.8889 0.7217 0.9067 0.3024 0.65 0.82 0.9222 0.7485 0.975 0.2382 0.5357 0.8162 0.85 0.7696 0.9154 0.3685 0.75
4.1252 30.0 3990 14.5642 0.6232 0.7305 0.6854 0.5934 0.3964 0.6258 0.7795 0.8595 0.8674 0.8 0.5161 0.8801 -1.0 -1.0 0.7149 0.8333 0.4899 0.94 0.4096 0.875 0.6172 1.0 0.5958 0.9375 0.8422 0.94 0.5393 0.8364 0.9064 0.95 0.4959 0.9467 0.9 0.9 0.5538 0.9111 0.6284 0.8889 0.7265 0.9067 0.3009 0.6583 0.8077 0.8889 0.7483 0.95 0.2374 0.5357 0.824 0.85 0.7575 0.9 0.3682 0.7
Framework versions
  • Transformers 5.12.1
  • Pytorch 2.12.1+cu130
  • Datasets 5.0.0
  • Tokenizers 0.22.2

Runs of merve rfdetr-roadsign-agree2-large-noaug on huggingface.co

13
Total runs
0
24-hour runs
-4
3-day runs
-3
7-day runs
-3
30-day runs

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rfdetr-roadsign-agree2-large-noaug huggingface.co

rfdetr-roadsign-agree2-large-noaug huggingface.co is an AI model on huggingface.co that provides rfdetr-roadsign-agree2-large-noaug's model effect (), which can be used instantly with this merve rfdetr-roadsign-agree2-large-noaug model. huggingface.co supports a free trial of the rfdetr-roadsign-agree2-large-noaug model, and also provides paid use of the rfdetr-roadsign-agree2-large-noaug. Support call rfdetr-roadsign-agree2-large-noaug model through api, including Node.js, Python, http.

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rfdetr-roadsign-agree2-large-noaug install

rfdetr-roadsign-agree2-large-noaug is an open source model from GitHub that offers a free installation service, and any user can find rfdetr-roadsign-agree2-large-noaug on GitHub to install. At the same time, huggingface.co provides the effect of rfdetr-roadsign-agree2-large-noaug install, users can directly use rfdetr-roadsign-agree2-large-noaug installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

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rfdetr-roadsign-agree2-large-noaug huggingface.co Url

Provider of rfdetr-roadsign-agree2-large-noaug huggingface.co

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