High performance and lightweight object detection models

Run time and cost

Predictions run on Nvidia T4 GPU hardware. Predictions typically complete within 136 seconds. The predict time for this model varies significantly based on the inputs.

High performance and lightweight object detection models

About the demo

The available weights are downloaded from the link at the Github repository of this project


YOLOX is an anchor-free version of YOLO, with a simpler design but better performance! It aims to bridge the gap between research and industrial communities.
For more details, please refer to our report on Arxiv.


If you use YOLOX in your research, please cite our work by using the following BibTeX entry:

  title={YOLOX: Exceeding YOLO Series in 2021},
  author={Ge, Zheng and Liu, Songtao and Wang, Feng and Li, Zeming and Sun, Jian},
  journal={arXiv preprint arXiv:2107.08430},

In memory of Dr. Jian Sun

Without the guidance of Dr. Sun Jian, YOLOX would not have been released and open sourced to the community.
The passing away of Dr. Sun Jian is a great loss to the Computer Vision field. We have added this section here to express our remembrance and condolences to our captain Dr. Sun.
It is hoped that every AI practitioner in the world will stick to the concept of "continuous innovation to expand cognitive boundaries, and extraordinary technology to achieve product value" and move forward all the way.