In this video, we are working on the multiclass segmentation using Unet architecture. For this task, we are going to use the Oxford IIIT Pet dataset.

What is semantic segmentation?

The goal of semantic image segmentation is to label each pixel of an image with a corresponding class. It is also called Dense prediction.

What is U-Net?

U-Net is a fully convolutional neural network that was developed by Olaf Ronneberger. It was especially developed for the purpose of biomedical image segmentation.

Sorce Code : https://github.com/nikhilroxtomar/Multiclass-Segmentation-in-Unet

Subscribe : https://www.youtube.com/channel/UClkqp31PHke-f8b8mjiiY-Q

#tensorflow #keras #unet