Image classification (visual culture studies) is the analysis and critique, from the perspective of visual culture studies, of automated or semi-automated processes used to assign descriptive labels or categories to images. This concept investigates the cultural, social, ethical, and historical implications of algorithmic visual categorization, particularly as these techniques are applied within domains such as computational pathology, media innovation, and remote sensing. It examines how classification systems shape perception, knowledge production, power relations, and the representation of visual data, considering the biases, ideologies, and cultural contexts embedded within datasets, algorithms, and their applications in these specific fields.