milesial/Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
This tool helps segment objects from high-definition images, making it easy to isolate specific features or items. You input a standard image, and it outputs an image with the identified object highlighted, often as a black and white mask. This is perfect for computer vision engineers or researchers working with detailed image analysis, such as in medical imaging or industrial inspection.
11,266 stars. No commits in the last 6 months.
Use this if you need to precisely outline and separate an object or area of interest within an image for analysis or further processing.
Not ideal if you are looking for general image classification (what's in the image) rather than pixel-level segmentation (where exactly it is).
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Language
Python
License
GPL-3.0
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Last pushed
Aug 11, 2024
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