This dataset collects facial images in both RGB and IR formats. The ages included are children (7-16 years old) and the elderly (over 60 years old) as well as adults. The lighting conditions captured range from normal light, strong light to dim light. The facial postures of the collectors include normal facial state and five specific postures (such as frontal face, 30 degrees to the left, etc.).
This dataset collects various images and textual descriptions of human behaviors in different indoor and outdoor scenarios for people of multiple skin tones, covering common facial expressions and a wide range of body movements. It also includes multiple images and descriptions of human actions from different shooting angles and across different age groups (all adults).
This dataset collects facial images and textual descriptions of various common expressions of people of multiple skin colors in different indoor and outdoor collection scenarios, with adults wearing masks, glasses, and headphones.
This dataset contains facial image data. It includes three different skin colors: dark, light, and others (excluding fair). All the subjects in the collection are adults, with an equal male-to-female ratio. The image resolution is all above 1024×1024. This dataset covers common facial expressions, including natural expressions, happiness, excitement, etc. The facial angles mainly depict frontal views with the smallest deviation (yaw/pitch/roll all less than 30 degrees). The images are real, clear, without gray scale, and without watermarks.
The collection scenario for this dataset is a supermarket. The design involves 1 to 10 people entering the supermarket one after another, walking naturally and picking items. There are a total of 4 surveillance cameras. The annotation content includes rectangular boxes and orientation categories, and it includes the shape attributes of each ID. The main data include videos, frame images, and frame image annotation results.
