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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  1. 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)

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. 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.

  4. vision

    Datasets, Transforms and Models specific to Computer Vision

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

  5. 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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