Semantic Segmentation

Semantic segmentation is a computer vision task that involves partitioning an image into segments and classifying each segment based on predefined categories. This process allows for detailed understanding and interpretation of visual data, making it essential in applications like autonomous driving, medical imaging, and image editing. The classification of pixels enables more precise localization of objects within images compared to traditional object detection methods.