Use YOLOv5 tensorflow.js models to speed up annotation

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  • yolov5

    YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

  • Hi everyone! I'm Piotr and for several years I have been developing a small open-source project for labeling photos - makesense.ai. I added a new feature this weekend. You can use [YOLOv5](https://github.com/ultralytics/yolov5) models to automatically annotate photos. You can choose one of the models pre-trained on the COCO dataset, but most importantly you can load your own custom models. Just drag and drop the tensorflow.js model to the editor and you are good to go. Everything runs in brawser - no backend, so it is completely free. Let me know what you think! I'm super excited about that project.

  • yolov5js

    Effortless YOLOv5 javascript deployment

  • By the way, I have created an NPM package, which can also make it easier for you to deploy YOLOv5 in the browser. https://github.com/SkalskiP/yolov5js

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    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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