| ---
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| license: apache-2.0
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| tags:
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| - object-detection
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| - yolox
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| - pytorch
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| - safetensors
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| library_name: yolox
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| pipeline_tag: object-detection
|
| ---
|
|
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| # yolox-tiny
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|
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| This repository contains **YOLOX-tiny** weights exported to **`safetensors`** format.
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|
|
| ## Source
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|
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| These weights are derived from the official **YOLOX** project by **Megvii-BaseDetection**:
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|
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| - Official repository: https://github.com/Megvii-BaseDetection/YOLOX
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|
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| Original checkpoint source used for this export:
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|
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| - `weights/yolox_tiny.pth`
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|
|
| ## License
|
|
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| YOLOX is released under the **Apache-2.0** license.
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| Please refer to the original project for the full license terms.
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|
|
| ## Files
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|
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| This repository is expected to contain:
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|
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| - `model.safetensors` — model weights
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| - `config.json` — lightweight metadata
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| - `LICENSE` — copied license file
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| - `README.md` — this model card
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|
|
| ## Official YOLOX Benchmark
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|
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| The following reference metrics are taken from the official YOLOX benchmark table.
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| | Model | Input size | mAP val (0.5:0.95) | Params (M) | FLOPs (G) |
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| |---|---:|---:|---:|---:|
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| | YOLOX-Tiny | 416 | 32.8 | 5.06 | 6.45 |
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|
|
| ## Notes
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|
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| This is **not an official YOLOX release**.
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| This repository republishes model weights in **`safetensors`** format for easier sharing and hosting on Hugging Face Hub.
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|
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| ## Acknowledgements
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| Thanks to the **YOLOX authors and maintainers** for the original work.
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|
|
