What Is Image Classification? A Guide for Beginners
Blog post from Roboflow
Image classification is a vital computer vision task that assigns labels to entire images, helping to categorize objects into specific groups. This process can be executed through single-label and multi-label classification, which differ based on whether one or multiple features are identified in an image. The practical applications of image classification span various industries, such as monitoring production lines for defects, moderating content for appropriateness, and detecting leaks in infrastructure. The article also contrasts image classification with other computer vision algorithms like object detection and instance segmentation, explaining that while image classification labels entire images, object detection identifies specific object instances, and instance segmentation highlights exact pixel locations of objects. Additionally, the guide provides insights into using Roboflow, a tool for building image classification models, emphasizing the importance of training models with appropriate datasets to generate accurate classifications for diverse tasks.