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README.md
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The model is fine-tuned on the **RFDETRNano** architecture ([arXiv: 2511.09554](https://arxiv.org/pdf/2511.09554)) by Roboflow, using `rfdetr` version 1.6.1.
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## Model Specifications
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| Framework | Roboflow (PyTorch) |
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| Pretrained Weights | RFDETRNano (Roboflow) |
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## Performance Metrics
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| Metric | Value |
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## Intended Use
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VehicleNet-RFDETR-n8 is suitable for the following applications:
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- Surveillance applications that violate individual privacy rights or applicable regulations.
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- Any use case inconsistent with the Apache License 2.0 terms.
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## Citation
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If you use this model or the UVH-26-MV dataset in your research, please cite the respective dataset and model sources appropriately.
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## License
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This model is released under the **[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)**. You are free to use, modify, and distribute this model subject to the terms of the license. See the `LICENSE` file for full details.
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The model is fine-tuned on the **RFDETRNano** architecture ([arXiv: 2511.09554](https://arxiv.org/pdf/2511.09554)) by Roboflow, using `rfdetr` version 1.6.1.
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## Model Specifications
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| Framework | Roboflow (PyTorch) |
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| Pretrained Weights | RFDETRNano (Roboflow) |
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## Performance Metrics
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| Metric | Value |
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## Intended Use
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VehicleNet-RFDETR-n8 is suitable for the following applications:
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- Surveillance applications that violate individual privacy rights or applicable regulations.
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- Any use case inconsistent with the Apache License 2.0 terms.
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## Citation
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If you use this model or the UVH-26-MV dataset in your research, please cite the respective dataset and model sources appropriately.
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## License
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This model is released under the **[Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)**. You are free to use, modify, and distribute this model subject to the terms of the license. See the `LICENSE` file for full details.
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