SegNet

SegNet is a type of artificial intelligence model used for image segmentation, which means identifying and delineating different parts within an image. It works by analyzing the image through layers that extract features and then reconstructs detailed maps indicating specific objects or regions, such as roads, buildings, or trees in a satellite photo. SegNet's architecture includes encoding layers that compress and interpret the image and decoding layers that restore spatial details. This process allows the model to accurately label each pixel, making it useful for applications like autonomous vehicles, medical imaging, and geographic analysis.