[D][P] YOLOv6: state-of-the-art object detection at 1242 FPS

This page summarizes the projects mentioned and recommended in the original post on reddit.com/r/MachineLearning

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  • YOLOv6

    YOLOv6: a single-stage object detection framework dedicated to industrial applications.

    Saved you the time: https://github.com/meituan/YOLOv6

  • 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/

  • talent.io

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  • darknet

    YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet ) (by AlexeyAB)

    For a quick start on YOLOv3 / 4 follow the instructions here: https://github.com/AlexeyAB/darknet

  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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