Amazing-Semantic-Segmentation
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
Use various models to segment images into different parts for computer vision tasks.
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Free · no card · unsubscribe anytimeAmazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
Amazing-Semantic-Segmentation has 482 stars on GitHub. It has been forked 147 times. Amazing-Semantic-Segmentation is written mainly in Python. It has been in active development since 2019. Amazing-Semantic-Segmentation is available under the Apache-2.0 license. Its main topics are computer-vision, deep-learning, keras-tensorflow, semantic-segmentation.
What is Amazing-Semantic-Segmentation?
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
Is Amazing-Semantic-Segmentation open source?
Amazing-Semantic-Segmentation is an open-source project. It is released under the Apache-2.0 license.
Is Amazing-Semantic-Segmentation free?
Yes. Amazing-Semantic-Segmentation is free and open source — you can use, modify and self-host it.
What license does Amazing-Semantic-Segmentation use?
Amazing-Semantic-Segmentation is available under the Apache-2.0 license.
What language is Amazing-Semantic-Segmentation written in?
Amazing-Semantic-Segmentation is written mainly in Python.
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