Individual Photo Face Data | 500,605 Images | Machine Learning(ML) Data

This dataset contains 500,605 individual face images, with each person represented by a single image. The race distribution includes Asian, Black, Caucasian and Brown individuals, the age distribution is ranging from infant to the elderly, the middle-aged and young people are the majorities. Images were collected in both indoor and outdoor environments, capturing diverse facial expressions, postures, and lighting conditions. The data can be used for tasks such as face recognition, biometric authentication, and computer vision model training. We strictly adhere to data protection regulations and privacy standards, ensuring the maintenance of user privacy and legal rights throughout the data collection, storage, and usage processes, our datasets are all GDPR, CCPA, PIPL complied. Data size 500,605 images, one person have one face image Poplution distribution race distribution: 82,991 Asians, 18,014 Blacks, 399,383 Caucasians, 217 Brown people; gender distribution: 216,297 males, 284,308 females; age distribution: ranging from infant to the elderly, the middle-aged and young people are the majorities Collecting environment indoor scenes, outdoor scenes Data diversity multiple age periods, multiple scenes, multiple facial postures, multiple expressions Device cellphone, camera Data format the image data format is .jpg Annotation label the person – ID, nationality, gender, age group Accuracy rate the accuracy of label annotation is not less than 95%