Imbalanced Data

Image segmentation is a computer vision process that divides an image into meaningful regions or segments, such as objects or backgrounds. It helps in isolating and identifying specific parts within an image, enabling further analysis like object recognition, scene understanding, or image editing. Techniques include thresholding, clustering, and deep learning-based methods for accurate and efficient segmentation.