Open discussion and useful links people trying to do Object Detection

This page summarizes the projects mentioned and recommended in the original post on /r/deeplearning

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  • yolov

    * Apart from VGG-SSD (Source code https://pytorch.org/vision/main/_modules/torchvision/models/detection/ssd.html), there are other models available there. And also the one I tried my self (yolov7 https://github.com/WongKinYiu/yolov)

  • blackjack-basic-strategy

    A computer vision powered Blackjack basic strategy app powered by Roboflow.

    * Most of the time I find Roboflow extremely handy, I used it to merge datasets, augmentate, read tutorials and that kind of thing. Basically you just create your dataset with roboflow and focus on other aspects.

  • WorkOS

    The modern API for authentication & user identity. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

  • vision

    Datasets, Transforms and Models specific to Computer Vision

    * Why doesnt Pytorch have YOLO! https://github.com/pytorch/vision/issues/6341

  • 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/

    * Nice implemention of Yolo that is BSD license (not GPL) https://github.com/Megvii-BaseDetection/YOLOX

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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