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license: apache-2.0
tags:
- object-detection
- yolox
- pytorch
- safetensors
library_name: yolox
pipeline_tag: object-detection
---
# yolox-medium
This repository contains **YOLOX-medium** weights exported to **`safetensors`** format.
## Source
These weights are derived from the official **YOLOX** project by **Megvii-BaseDetection**:
- Official repository: https://github.com/Megvii-BaseDetection/YOLOX
Original checkpoint source used for this export:
- `weights/yolox_m.pth`
## License
YOLOX is released under the **Apache-2.0** license.
Please refer to the original project for the full license terms.
## Files
This repository is expected to contain:
- `model.safetensors` — model weights
- `config.json` — lightweight metadata
- `LICENSE` — copied license file
- `README.md` — this model card
## Official YOLOX Benchmark
The following reference metrics are taken from the official YOLOX benchmark table.
| Model | Input size | mAP val (0.5:0.95) | Params (M) | FLOPs (G) |
|---|---:|---:|---:|---:|
| YOLOX-m | 640 | 46.9 | 25.3 | 73.8 |
## Notes
This is **not an official YOLOX release**.
This repository republishes model weights in **`safetensors`** format for easier sharing and hosting on Hugging Face Hub.
## Acknowledgements
Thanks to the **YOLOX authors and maintainers** for the original work.
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