Displaced People Recognition

Displaced People Recognition is a computer vision task aimed at identifying displaced populations by analyzing visual features in images. This task employs image processing and machine learning techniques to extract multi-dimensional information such as the appearance and behavior of individuals, thereby achieving precise recognition and classification. Its application value lies in assisting humanitarian organizations and government agencies in rapidly locating and assisting refugees, missing persons, and other vulnerable groups, thus enhancing rescue efficiency and response speed.