#Image segmentation with IITPetdataset using U-net with Demo[Tensorflow] |Hostbox cse

This video is very useful for learn Deep learning

Lecture by Nagarajan.S

Image segmentation is a way of breaking down a digital image into multiple groups known as image segments, which help reduce the image’s complexity and simplify processing or analysis. In other words, segmentation involves labeling pixels. Each part of a picture or pixel that falls within the same category is given a unique label.

U-Net gets its name from its U-shaped architecture. U-Net was developed and first used for biomedical Image segmentation. Its architecture is similar to an encoder network followed by a decoder network

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