pytorch-semantic-segmentation and semantic-segmentation
About pytorch-semantic-segmentation
zijundeng/pytorch-semantic-segmentation
PyTorch for Semantic Segmentation
This project helps computer vision engineers and researchers to experiment with and apply various deep learning models for semantic segmentation. It takes an input image and outputs a pixel-level classification map, where each pixel is labeled with the category of the object it belongs to. This is ideal for those working on scene understanding, autonomous systems, or medical image analysis.
About semantic-segmentation
sithu31296/semantic-segmentation
SOTA Semantic Segmentation Models in PyTorch
This project helps experts in computer vision automatically identify and delineate specific objects or regions within images. You input an image, and it outputs a segmented image where different objects (like people, faces, or elements in a scene) are highlighted or outlined. It's designed for researchers and practitioners who need precise pixel-level classification in fields like scene understanding or medical imaging.
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