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rfdetr-roadsign-agree1

merve / rfdetr-roadsign-agree1

Run on huggingface.co
huggingface.co
Total runs: 52
24-hour runs: 1
7-day runs: 14
30-day runs: 40
Model's Last Updated: June 27 2026
object-detection

Introduction of rfdetr-roadsign-agree1

Model Details of rfdetr-roadsign-agree1

rfdetr-roadsign-agree1

This model is a fine-tuned version of merve/rfdetr-roadsign-agree1 on an unknown dataset. It achieves the following results on the evaluation set:

  • Loss: 14.1117
  • Map: 0.5959
  • Map 50: 0.6882
  • Map 75: 0.6482
  • Map Small: 0.1579
  • Map Medium: 0.3972
  • Map Large: 0.6024
  • Mar 1: 0.7847
  • Mar 10: 0.8778
  • Mar 100: 0.8874
  • Mar Small: 0.275
  • Mar Medium: 0.7115
  • Mar Large: 0.8983
  • Map Bus Stop: 0.9337
  • Mar 100 Bus Stop: 0.95
  • Map Do Not Enter: 0.8604
  • Mar 100 Do Not Enter: 0.9
  • Map Do Not Stop: 0.1781
  • Mar 100 Do Not Stop: 0.9429
  • Map Do Not Turn L: 0.2737
  • Mar 100 Do Not Turn L: 0.8889
  • Map Do Not Turn R: 0.7614
  • Mar 100 Do Not Turn R: 0.9667
  • Map Do Not U Turn: 0.5779
  • Mar 100 Do Not U Turn: 0.9273
  • Map Enter Left Lane: 0.7363
  • Mar 100 Enter Left Lane: 0.9667
  • Map Green Light: 0.6934
  • Mar 100 Green Light: 0.8
  • Map Left Right Lane: 0.6518
  • Mar 100 Left Right Lane: 0.9833
  • Map No Parking: 0.3872
  • Mar 100 No Parking: 0.9556
  • Map Parking: 0.5651
  • Mar 100 Parking: 0.8875
  • Map Ped Crossing: 0.8565
  • Mar 100 Ped Crossing: 0.9353
  • Map Ped Zebra Cross: -1.0
  • Mar 100 Ped Zebra Cross: -1.0
  • Map Railway Crossing: 0.5375
  • Mar 100 Railway Crossing: 0.95
  • Map Red Light: 0.2355
  • Mar 100 Red Light: 0.5789
  • Map Stop: 0.9092
  • Mar 100 Stop: 0.9615
  • Map T Intersection L: 0.6185
  • Mar 100 T Intersection L: 0.9333
  • Map Traffic Light: 0.3229
  • Mar 100 Traffic Light: 0.6875
  • Map U Turn: 0.8555
  • Mar 100 U Turn: 0.925
  • Map Warning: 0.7491
  • Mar 100 Warning: 0.8739
  • Map Yellow Light: 0.2148
  • Mar 100 Yellow Light: 0.7333
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: 1e-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: 10
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
7.1263 1.0 135 14.2796 0.5219 0.6064 0.5668 0.1319 0.3799 0.5262 0.7712 0.8669 0.8811 0.275 0.5021 0.9025 0.9135 0.9333 0.8678 0.92 0.1951 0.7429 0.1862 0.9111 0.5399 0.95 0.3958 0.9273 0.5769 0.95 0.6585 0.8176 0.7105 0.975 0.4354 0.9222 0.5259 0.85 0.7624 0.9235 -1.0 -1.0 0.3379 0.94 0.2276 0.6105 0.855 0.9538 0.3366 0.9333 0.2778 0.775 0.811 0.95 0.5744 0.8696 0.2502 0.7667
7.0985 2.0 270 14.0585 0.519 0.6098 0.5633 0.1706 0.3898 0.5212 0.7687 0.8639 0.8778 0.3 0.5135 0.8951 0.8687 0.9167 0.8826 0.9133 0.1674 0.8429 0.185 0.9 0.6606 0.9667 0.3293 0.9091 0.4655 0.95 0.6863 0.7941 0.6468 0.9833 0.3678 0.9556 0.475 0.875 0.8113 0.9412 -1.0 -1.0 0.3282 0.95 0.2056 0.6053 0.8779 0.9462 0.3762 0.9 0.2965 0.75 0.8258 0.925 0.6316 0.8652 0.291 0.6667
7.1367 3.0 405 13.7739 0.5529 0.6398 0.6013 0.188 0.3986 0.5584 0.7759 0.8885 0.898 0.3 0.7469 0.9116 0.8966 0.9167 0.8647 0.9067 0.1779 0.9571 0.3493 0.9222 0.5427 0.975 0.5786 0.9273 0.7091 1.0 0.6781 0.7941 0.5452 0.9833 0.3847 0.9667 0.4656 0.875 0.7886 0.9471 -1.0 -1.0 0.3688 0.95 0.2428 0.6474 0.8904 0.9462 0.4676 0.9333 0.3578 0.6875 0.8304 1.0 0.6667 0.8913 0.2528 0.7333
7.0008 4.0 540 13.9335 0.5647 0.6489 0.6179 0.0711 0.3881 0.57 0.7869 0.8718 0.885 0.225 0.6469 0.9018 0.8916 0.9167 0.8761 0.9067 0.1597 0.8571 0.2533 0.9 0.6444 0.9583 0.4088 0.9364 0.6317 0.95 0.6334 0.8059 0.6543 0.9667 0.4699 0.9556 0.5149 0.875 0.7512 0.9529 -1.0 -1.0 0.5247 0.96 0.2484 0.5895 0.8907 0.9308 0.5683 0.9333 0.3522 0.775 0.9 0.925 0.7052 0.9043 0.2151 0.7
6.8060 5.0 675 14.0214 0.5497 0.6341 0.5963 0.1656 0.369 0.5582 0.7805 0.8712 0.8896 0.3 0.6729 0.9043 0.9252 0.95 0.8459 0.9133 0.1701 0.8 0.3239 0.9 0.5946 0.9583 0.3397 0.9 0.6518 0.9667 0.6702 0.8118 0.6674 0.9667 0.398 0.9556 0.5133 0.8875 0.8392 0.9412 -1.0 -1.0 0.432 0.95 0.275 0.6421 0.9332 0.9538 0.3413 0.9333 0.2288 0.7625 0.8555 0.95 0.7276 0.8826 0.2605 0.7667
6.6288 6.0 810 13.9245 0.5743 0.6603 0.6297 0.1315 0.4167 0.5769 0.7769 0.8703 0.8803 0.225 0.5115 0.8992 0.9303 0.95 0.8729 0.9067 0.1912 0.8286 0.2602 0.8667 0.7311 0.9583 0.5245 0.9091 0.6474 0.95 0.6631 0.8 0.6294 0.975 0.4061 0.9556 0.5272 0.8625 0.8696 0.9412 -1.0 -1.0 0.4255 0.93 0.2636 0.5895 0.9041 0.9385 0.5445 0.9333 0.2585 0.725 0.9002 0.975 0.722 0.8783 0.2152 0.7333
6.5468 7.0 945 14.0766 0.5777 0.6643 0.6284 0.1262 0.3692 0.5868 0.7806 0.8728 0.8854 0.25 0.6687 0.8992 0.9252 0.95 0.8756 0.9267 0.1682 0.9286 0.2721 0.8889 0.7242 0.9417 0.4321 0.9091 0.7477 0.9667 0.668 0.8059 0.6723 0.975 0.4022 0.9778 0.55 0.9125 0.8823 0.9471 -1.0 -1.0 0.3901 0.94 0.2485 0.5421 0.8873 0.9308 0.5632 0.9333 0.2599 0.75 0.9 0.9 0.7691 0.8826 0.2157 0.7
6.6567 8.0 1080 14.0353 0.5987 0.6867 0.6513 0.1556 0.3961 0.6035 0.7793 0.8781 0.8902 0.3 0.7365 0.9014 0.9338 0.9667 0.8679 0.9133 0.1841 0.9714 0.2545 0.8778 0.7593 0.9667 0.6702 0.9455 0.7099 0.95 0.668 0.8118 0.7205 0.975 0.3969 0.9444 0.5367 0.9 0.8504 0.9353 -1.0 -1.0 0.5086 0.94 0.234 0.5947 0.9414 0.9615 0.6096 0.9333 0.3307 0.7 0.8258 0.975 0.7555 0.8739 0.2155 0.6667
6.4302 9.0 1215 14.0288 0.5966 0.683 0.6482 0.1579 0.3948 0.6031 0.7856 0.8772 0.8896 0.275 0.7052 0.9005 0.9365 0.95 0.8601 0.9133 0.1758 0.9286 0.2565 0.8889 0.7642 0.9667 0.6331 0.9545 0.7303 0.9833 0.68 0.8 0.694 0.975 0.389 0.9556 0.5644 0.8875 0.8644 0.9412 -1.0 -1.0 0.502 0.94 0.2334 0.5632 0.8965 0.9538 0.6077 0.9333 0.3126 0.75 0.8554 0.9 0.7619 0.8739 0.2144 0.7333
6.5195 10.0 1350 14.1117 0.5959 0.6882 0.6482 0.1579 0.3972 0.6024 0.7847 0.8778 0.8874 0.275 0.7115 0.8983 0.9337 0.95 0.8604 0.9 0.1781 0.9429 0.2737 0.8889 0.7614 0.9667 0.5779 0.9273 0.7363 0.9667 0.6934 0.8 0.6518 0.9833 0.3872 0.9556 0.5651 0.8875 0.8565 0.9353 -1.0 -1.0 0.5375 0.95 0.2355 0.5789 0.9092 0.9615 0.6185 0.9333 0.3229 0.6875 0.8555 0.925 0.7491 0.8739 0.2148 0.7333
Framework versions
  • Transformers 5.12.1
  • Pytorch 2.12.0+cu130
  • Datasets 5.0.0
  • Tokenizers 0.22.2

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

52
Total runs
1
24-hour runs
4
3-day runs
14
7-day runs
40
30-day runs

More Information About rfdetr-roadsign-agree1 huggingface.co Model

More rfdetr-roadsign-agree1 license Visit here:

https://choosealicense.com/licenses/apache-2.0

rfdetr-roadsign-agree1 huggingface.co

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

rfdetr-roadsign-agree1 huggingface.co Url

https://huggingface.co/merve/rfdetr-roadsign-agree1

merve rfdetr-roadsign-agree1 online free

rfdetr-roadsign-agree1 huggingface.co is an online trial and call api platform, which integrates rfdetr-roadsign-agree1's modeling effects, including api services, and provides a free online trial of rfdetr-roadsign-agree1, you can try rfdetr-roadsign-agree1 online for free by clicking the link below.

merve rfdetr-roadsign-agree1 online free url in huggingface.co:

https://huggingface.co/merve/rfdetr-roadsign-agree1

rfdetr-roadsign-agree1 install

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

rfdetr-roadsign-agree1 install url in huggingface.co:

https://huggingface.co/merve/rfdetr-roadsign-agree1

Url of rfdetr-roadsign-agree1

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