merve / rtdetr-v2-mobile-ui-design

huggingface.co
Total runs: 100
24-hour runs: 0
7-day runs: 51
30-day runs: 51
Model's Last Updated: February 25 2026
object-detection

Introduction of rtdetr-v2-mobile-ui-design

Model Details of rtdetr-v2-mobile-ui-design

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rtdetr-v2-mobile-ui-design

This model is a fine-tuned version of PekingU/rtdetr_v2_r50vd on the mrtoy/mobile-ui-design dataset. It achieves the following results on the evaluation set:

  • Loss: 13.2616
  • Map: 0.1534
  • Map 50: 0.2287
  • Map 75: 0.1542
  • Map Small: 0.0865
  • Map Medium: 0.2047
  • Map Large: 0.3091
  • Mar 1: 0.0442
  • Mar 10: 0.2487
  • Mar 100: 0.4962
  • Mar Small: 0.2773
  • Mar Medium: 0.6015
  • Mar Large: 0.7944
  • Map Group: 0.1249
  • Mar 100 Group: 0.5172
  • Map Image: 0.1624
  • Mar 100 Image: 0.5815
  • Map Rectangle: 0.1702
  • Mar 100 Rectangle: 0.5057
  • Map Text: 0.1562
  • Mar 100 Text: 0.3804
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: 4
  • 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: linear
  • num_epochs: 10.0
  • 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 Group Mar 100 Group Map Image Mar 100 Image Map Rectangle Mar 100 Rectangle Map Text Mar 100 Text
23.6602 1.0 197 14.0858 0.1528 0.2352 0.1481 0.0714 0.2019 0.2547 0.0459 0.2684 0.4782 0.291 0.5631 0.7147 0.1112 0.4851 0.2013 0.5721 0.1527 0.4655 0.1462 0.3903
22.2633 2.0 394 13.1787 0.1775 0.2653 0.1765 0.0891 0.2367 0.3279 0.0463 0.278 0.4988 0.2983 0.5899 0.7731 0.1364 0.5176 0.2159 0.6039 0.1877 0.4924 0.1699 0.3814
19.8778 3.0 591 13.0808 0.1671 0.2524 0.167 0.0908 0.2164 0.333 0.0448 0.2647 0.5016 0.3044 0.5882 0.7739 0.1129 0.5227 0.1943 0.6018 0.1666 0.4806 0.1946 0.4012
21.2068 4.0 788 12.9039 0.1501 0.2269 0.1496 0.0871 0.187 0.3033 0.043 0.2516 0.511 0.3137 0.6031 0.7796 0.1201 0.5328 0.1566 0.6087 0.1586 0.5057 0.165 0.3967
18.9370 5.0 985 13.0320 0.1692 0.2553 0.1685 0.0971 0.2165 0.3226 0.0481 0.2676 0.5146 0.3192 0.6079 0.7821 0.1356 0.5473 0.1766 0.6029 0.1785 0.4924 0.186 0.4159
19.2146 6.0 1182 12.6991 0.1719 0.2573 0.1733 0.1023 0.2208 0.3276 0.0461 0.2644 0.5164 0.306 0.619 0.7906 0.1341 0.5402 0.1708 0.5917 0.1881 0.5082 0.1948 0.4254
21.4358 7.0 1379 12.6713 0.1763 0.2598 0.1799 0.1045 0.2083 0.3432 0.0488 0.2691 0.5189 0.3103 0.6238 0.7839 0.1361 0.5482 0.1853 0.5935 0.1894 0.5146 0.1943 0.4192
20.0092 8.0 1576 12.6275 0.1634 0.2389 0.1669 0.0984 0.2029 0.303 0.0441 0.2547 0.5137 0.2994 0.6257 0.7886 0.13 0.5436 0.1648 0.5903 0.1962 0.5182 0.1628 0.4027
19.2347 9.0 1773 12.6504 0.1548 0.2268 0.1593 0.0984 0.191 0.2961 0.0428 0.2417 0.5066 0.2907 0.6185 0.7896 0.1268 0.5411 0.1574 0.5981 0.1788 0.5111 0.1561 0.3762
19.8882 10.0 1970 12.6196 0.1715 0.2498 0.1767 0.1056 0.2118 0.3165 0.0469 0.2576 0.5165 0.3077 0.6219 0.79 0.136 0.5488 0.1838 0.595 0.1928 0.5142 0.1735 0.4079
Framework versions
  • Transformers 5.3.0.dev0
  • Pytorch 2.10.0+cu128
  • Datasets 4.5.0
  • Tokenizers 0.22.2

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rtdetr-v2-mobile-ui-design huggingface.co

rtdetr-v2-mobile-ui-design huggingface.co is an AI model on huggingface.co that provides rtdetr-v2-mobile-ui-design's model effect (), which can be used instantly with this merve rtdetr-v2-mobile-ui-design model. huggingface.co supports a free trial of the rtdetr-v2-mobile-ui-design model, and also provides paid use of the rtdetr-v2-mobile-ui-design. Support call rtdetr-v2-mobile-ui-design model through api, including Node.js, Python, http.

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