Image recognition (visual culture studies) is the academic examination of the cultural, social, and aesthetic implications arising from the development, deployment, and use of image recognition technologies within contemporary visual environments. This concept investigates how automated processes for identifying, classifying, and interpreting visual content influence the production, circulation, consumption, and understanding of images and video in society. Situated within the broader analysis of visual media and connected to research on media innovation, this area of study explores the impact of image recognition on issues such as surveillance, identity construction, algorithmic curation, visual knowledge production, and the evolving relationship between human perception and machine vision in visual culture.