Megvii-BaseDetection/YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
Implements decoupled head architecture separating classification and localization branches, with dynamic label assignment during training to improve convergence. Provides multiple model scales from Nano (0.91M parameters) to X (99.1M parameters) optimized for various deployment scenarios, plus native PyTorch training with mixed-precision and distributed multi-machine support.
10,373 stars and 4,627 monthly downloads. No commits in the last 6 months. Available on PyPI.
Stars
10,373
Forks
2,448
Language
Python
License
Apache-2.0
Category
Last pushed
Jun 08, 2025
Monthly downloads
4,627
Commits (30d)
0
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