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/
YOLOX helps developers quickly implement high-performance object detection in computer vision applications. It takes images or video frames as input and outputs bounding boxes and classifications for objects within them. This tool is ideal for machine learning engineers and researchers who need to integrate efficient and accurate object detection capabilities into their systems.
10,373 stars. No commits in the last 6 months. Available on PyPI.
Use this if you need a robust, fast, and accurate object detection model for your computer vision project.
Not ideal if you are a non-developer seeking a ready-to-use application with a graphical user interface.
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10,373
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Language
Python
License
Apache-2.0
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Last pushed
Jun 08, 2025
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