Y
YOLOX
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/
★10.6kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
Tap to expand
What's this?Models project leveraging deep-learning and megengine, built with Python, open-source
Who made it?Maintained by Megvii-BaseDetection team, 10.6K⭐ on GitHub, #142 out of 3201 in Models
Why does it exist?With the growing demand for deep-learning and megengine in Models, Megvii-BaseDetection created YOLOX as a streamlined solution.
What can it do?Key use cases: ncnn, object-detection, onnx
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/Megvii-BaseDetection/YOLOX
🔗 github.com/Megvii-BaseDetection/YOLOX
Topics
deep-learningmegenginencnnobject-detectiononnxopenvinopytorchtensorrtyoloyolov3yolox