# Megvii-BaseDetection/YOLOX

<https://repo.masters-masters.com/en/repos/Megvii-BaseDetection/YOLOX>

[Home](https://repo.masters-masters.com/en) › [Megvii-BaseDetection](https://repo.masters-masters.com/en/owners/Megvii-BaseDetection) › [YOLOX](https://repo.masters-masters.com/en/repos/Megvii-BaseDetection/YOLOX)

Megvii-BaseDetection/YOLOX has 10,688 stars on GitHub. Its RepoMasters card: Stable tier. YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5…

| Field | Value |
| --- | --- |
| Owner | [Megvii-BaseDetection](https://repo.masters-masters.com/en/owners/Megvii-BaseDetection) |
| Stars | 10,688 |
| Forks | 2,548 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2021 |
| Topics | yolox, yolov3, onnx, tensorrt, ncnn, openvino, pytorch, megengine, object-detection, yolo |
| Tier | [Stable (5,000 to 19,999 ★)](https://repo.masters-masters.com/en/ranks/cult) |
| View on GitHub | [Megvii-BaseDetection/YOLOX](https://github.com/Megvii-BaseDetection/YOLOX) |

## Repository

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

The tier for repos with 5,000 to 19,999 ★. Published odds per card pulled: 0.9%. Rarity: Very rare.

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