1. 7 emotions, 3 sentences for each emotion, totaling 21 sentences, recorded as 1 video file; 2. 300 sentences, 10 sentences recorded as one video file, totaling 30 files

Each person records 300 sentences. A mobile phone records video + another mobile phone records audio + microphone sound card records audio simultaneously. The three devices record simultaneously and are time-synchronized.

Each person records 3 different sentences for 7 types of emotions, 21 different sentences per person. A mobile phone records video + another mobile phone records audio + microphone sound card records audio simultaneously. The three devices record simultaneously and are time-synchronized.

Total 4800 videos Two scenarios per person: First, reading section: two cameras, four positions 1. Low-speed driving on urban roads 2. High-speed driving on urban roads 3. Highway driving 4. Parking There are 8 videos, each about 90 seconds. Second, natural conversation: one camera, four positions 1. Low-speed driving on urban roads 2. High-speed driving on urban roads 3. Highway driving 4. Parking There are 8 videos, each about 30 seconds. Total 16 videos per person (per ID)

A total of 10195 videos. 232 3D masks were used, 200 2D posters were used, 7 surveillance cameras were used, and 37 shooting scenes were involved. Original video data, no labels.

Extract face region patches from original videos and provide real person/attack labels. A total of 1.3 million patches.

65,000 images, each with one face, annotated with 57 key points. Including African: 1300 IDs, Asian: 850 IDs, Central Asian: 850 IDs, Caucasian: 750 IDs, Indian: 450 IDs

6 videos per person: Turn left, turn right, look up, look down, wear glasses, head circle 15-19 years old: 2221 people, 20-39 years old: 2816 people, 40-59 years old: 1993 people, 60+ years old: 2970 people

3 videos per person: Happy, sad, angry 15-19 years old: 2221 people, 20-39 years old: 2816 people, 40-59 years old: 1993 people, 60+ years old: 2970 people

1 person, 1 front photo + 4 videos Normal light, normal pass Normal light, pass facing camera Abnormal light, normal pass Abnormal light, pass facing camera 15-19 years old: 2221 people, 20-39 years old: 2816 people, 40-59 years old: 1993 people, 60+ years old: 2970 people