keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Train a model to detect objects like raccoons in images using your own data.
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Free · no card · unsubscribe anytimeEasy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
keras-yolo2 has 1.7k stars on GitHub. It has been forked 772 times. keras-yolo2 is written mainly in Jupyter Notebook. It has been in active development since 2017. keras-yolo2 is available under the MIT license. Its main topics are convolutional-networks, deep-learning, realtime, regression.
What is keras-yolo2?
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Is keras-yolo2 open source?
keras-yolo2 is an open-source project. It is released under the MIT license.
Is keras-yolo2 free?
Yes. keras-yolo2 is free and open source — you can use, modify and self-host it.
What license does keras-yolo2 use?
keras-yolo2 is available under the MIT license.
What language is keras-yolo2 written in?
keras-yolo2 is written mainly in Jupyter Notebook.
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