Image Segmentation.

Image segmentation focuses on dividing multi-component, complex images, and video into multiple segments based on similar or differentiating features and characteristics. Labeling media on a pixel-by-pixel basis makes it possible to train computer vision models to interpret complex real-world data. Combining semantic segmentation, instance segmentation, and panoptic segmentation makes it possible to identify multiple images by instance or class, allowing models to discern which pixels belong to which class across separate instances.