Image Labelling

Image labeling is the process of identifying and tagging objects, features, or areas within an image with descriptive words or categories. It involves analyzing an image to recognize things like people, animals, objects, or scenes, then attaching labels to help computers understand what they see. This is essential for training machine learning models used in applications like facial recognition, autonomous vehicles, and medical diagnostics. Essentially, image labeling provides meaningful context to raw images, enabling AI systems to interpret visual data accurately and perform tasks that require visual understanding.