To understand what is in an image with fine granularity, a computer vision technique called image segmentation is used. Photos are made up of millions of individual pixels, and the purpose of image segmentation is to determine which object each pixel belongs to. This allows separating the foreground from the background, identifying precise locations of objects, and clearly marking boundaries that separate entities.
Accurately build training datasets for autonomous vehicles and Advanced Driver Assistance Systems (ADAS)
Car image segmentation involves using AI to reliably segment cars in images. Regardless of variance in image quality (e.g., lighting, resolution, angle, etc.), intelligent unstructured data processing ensures cars are identified and segmented from images automatically with a high level of accuracy.