Image recognition in AI involves using algorithms, especially deep learning techniques like CNNs, to analyze and interpret digital images. It enables machines to identify objects, patterns, or features within images, finding applications in various industries like self-driving cars, medical diagnostics, and more. The process includes data collection, preprocessing, feature extraction, model training, and evaluation to achieve accurate predictions on new images. Image recognition has revolutionized computer vision, advancing AI’s ability to understand and interact with visual information.
