| | ---
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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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| | ---
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| |
|
| | # yolox-small
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| |
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| | This repository contains **YOLOX-small** weights exported to **`safetensors`** format.
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| |
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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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| |
|
| | Original checkpoint source used for this export:
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| |
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| | - `weights/yolox_s.pth`
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| |
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| | ## License
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| |
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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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| |
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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-s | 640 | 40.5 | 9.0 | 26.8 |
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| |
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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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| |
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| | Thanks to the **YOLOX authors and maintainers** for the original work.
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| |
|
