luyanger1799/Amazing-Semantic-Segmentation
Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)
This project helps machine learning engineers and researchers implement state-of-the-art semantic segmentation models without building them from scratch. You provide images and corresponding masks for training, and it produces a model that can identify and precisely outline objects within new images. It’s ideal for those working on computer vision tasks like medical image analysis or autonomous driving perception.
481 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher focused on developing applications that require pixel-accurate object identification in images and want to experiment with various established segmentation architectures.
Not ideal if you are an end-user looking for a ready-to-use application with a graphical interface for image segmentation.
Stars
481
Forks
147
Language
Python
License
Apache-2.0
Category
Last pushed
Oct 20, 2022
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