Image Segmentation Using TensorFlow

Image segmentation assigns a single class to pixel groups, producing a mask that defines regions in an image. It has applications in fields like medical image analysis and self-driving cars. This video uses "The Oxford-IIIT Pet Dataset" with 37 pet categories for segmentation tasks. Each pixel is classified as belonging to the pet, bordering the pet, or neither. Required libraries and the TensorFlow dataset are used for implementation. 

For more detail information, read the full article here.