This project aims to detect and segment ships in satellite images using the U-Net deep learning model. It provides accurate and efficient ship detection, assisting various maritime applications such ...

The dataset contains 37 categories of pets with pixel-level annotations. The goal is to segment the pet from the background. UNet is a popular architecture for semantic segmentation, and ResNet34_UNet ...

With rapid development of deep neural network-based image processing techniques, many areas like augmented reality, robotic vision are adopting image segmentation technique for addressing image ...

The lung is the organ most commonly affected by tuberculosis infection, with estimates of lung involvement in subjects with active tuberculosis ranging from 79% to 87%. This type of disease is an ...