Image segmentation

Data labeling

Image segmentation is the process of separating an image into multiple different parts to simplify its representation and facilitate analysis for training a computer vision model. Image segmentation is one of the most labor intensive annotation tasks because it requires pixel level accuracy. Labeling a single image can take up to 30 minutes. With image segmentation, each annotated pixel in an image belongs to a single class. The output is a mask that outlines the shape of the object in the image.