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rf_detr_finetuned_mobile_ui
victorbarra/rf_detr_finetuned_mobile_ui
rf_detr_finetuned_mobile_ui is a object detection model from victorbarra. Use it when you need objects located in an image. It is set up for transformers. The card lists the license as apache-2.0.
<a href="https://huggingface.co/spaces/victorbarra/huggingface-static-4b6e39" target="blank"<img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Tr…
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At a glance
- Task
- Object Detection
- Library
- transformers
- License
- apache-2.0
- Model type
- rf_detr
- Access
- Public
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026
- SHA
- 2f598a75
Base models
Model card
From the Hugging Face model README
<a href="https://huggingface.co/spaces/victorbarra/huggingface-static-4b6e39" target="_blank"><img src="https://raw.githubusercontent.com/gradio-app/trackio/refs/heads/main/trackio/assets/badge.png" alt="Visualize in Trackio" title="Visualize in Trackio" style="height: 40px;"/></a>
<!-- This model card has been generated automatically according to the information the Trainer had access to. You should probably proofread and complete it, then remove this comment. -->rf_detr_finetuned_mobile_ui
This model is a fine-tuned version of Roboflow/rf-detr-medium on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 11.2941
- Map: 0.2168
- Map 50: 0.3333
- Map 75: 0.2202
- Map Small: 0.1391
- Map Medium: 0.221
- Map Large: 0.2988
- Mar 1: 0.0541
- Mar 10: 0.3024
- Mar 100: 0.5255
- Mar Small: 0.3717
- Mar Medium: 0.5325
- Mar Large: 0.6828
- Map Group: 0.1443
- Mar 100 Group: 0.5592
- Map Image: 0.2562
- Mar 100 Image: 0.574
- Map Rectangle: 0.2237
- Mar 100 Rectangle: 0.4755
- Map Text: 0.2428
- Mar 100 Text: 0.4934
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
- num_epochs: 3
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 13.1884 | 1.0 | 834 | 11.8293 | 0.12 | 0.2083 | 0.1168 | 0.0658 | 0.1201 | 0.1711 | 0.0424 | 0.2184 | 0.4053 | 0.2725 | 0.4063 | 0.5371 | 0.0976 | 0.4292 | 0.115 | 0.4454 | 0.1046 | 0.3205 | 0.1627 | 0.4263 |
| 10.6173 | 2.0 | 1668 | 11.4860 | 0.1974 | 0.3124 | 0.1987 | 0.1219 | 0.2041 | 0.2696 | 0.052 | 0.2881 | 0.5082 | 0.3476 | 0.5195 | 0.6644 | 0.1251 | 0.5347 | 0.2301 | 0.5594 | 0.2077 | 0.4596 | 0.2268 | 0.4792 |
| 9.9421 | 3.0 | 2502 | 11.2941 | 0.2168 | 0.3333 | 0.2202 | 0.1391 | 0.221 | 0.2988 | 0.0541 | 0.3024 | 0.5255 | 0.3717 | 0.5325 | 0.6828 | 0.1443 | 0.5592 | 0.2562 | 0.574 | 0.2237 | 0.4755 | 0.2428 | 0.4934 |
Framework versions
- Transformers 5.12.1
- Pytorch 2.8.0+cu128
- Datasets 5.0.0
- Tokenizers 0.22.2
- Task
- Object Detection
- Library
- transformers
- Type
- rf_detr
- License
- apache-2.0
- Created
- Jun 20, 2026
- Updated
- Jun 20, 2026