3D U-Net, an efficient paradigm in medical segmentation, excels at analyzing 3D volumetric data, allowing it to capture a holistic view of brain scans. In many parts of the world, ...
In this post, we will learn how to perform semantic image segmentation using pre-trained models available in TensorFlow Hub. TensorFlow Hub is a library and platform designed for sharing, ...
Document Scanning is a background segmentation problem that can be solved using various methods. It is one of the extensively used applications of computer vision. In this article, we are considering ...
This post "Torchvision Semantic Segmentation," is part of the series in which we will cover the following topics. 1. What is Semantic Segmentation? Semantic Segmentation is an image analysis ...
In Computer Vision, the term "image segmentation" or simply "segmentation" refers to dividing the image into groups of pixels based on some criteria. A segmentation algorithm takes an image as ...
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