Single-Label Image Classification

A fundamental vision task that assigns an image to exactly one of a set of predefined classes.

Single-label image classification remains one of the most fundamental and important tasks in computer vision. A decision is made by identifying the dominant object, scene, or category in the image. It appears in many applications such as industrial quality control, document type classification, medical image triage, and retail product recognition. Although it appears simple, data distribution, class balance, and visual variation can make it challenging in practice.