Image/Face Dataset
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We only provide real world and truth ground data.
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Algorithm research and data design make our data more valuable for machine.
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We use different devices in different situations to get data from all over the world.
EXCEPTIONAL QUALITY
After 3 rounds of quality inspection, the accuracy is over 95%.
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Image/Face Dataset
Chinese 3D Multi Expression Face Data
happy£¬sad£¬angry
3 video
10000 Participants
Chinese 3D Multi Posture Data
China-East Asian
1 ID photo+6 video
10000 Participants
Chinese Face Verification Database
1 front photo+1 video
10000 Participants
Chinese Facial Data Under Surveillance Cameras
Hik IP Camera
1 front photo+4 video
10000 Participants
Chinese Facial Under IR Camera Face Data
Front light, backlight, dark light, side light, outdoor
23 videos
2000 Participants
Chinese Facial Under Phone Camera Face Data
1. 6 videos Front, head left, head right, head up, head down, head around 2. 6 videos Happy, sad, angry, winking, closing eyes, opening mouth 3. 5 videos Free, with a hat, a mask, glasses, and sunglasses 4. 6 videos Backlight, front light, side light, dark light, outdoor sunlight, outdoor shading
23 videos
2000 Participants
Chinese Multi Expression Data
happy£¬sad£¬angry
1 ID photo+3 video
10000 Participants
Chinese Multi Posture Data
head left, head right, head up, head down,with glasses
6 video
10000 Participants
Emotional Multi Modal Audio/Video Dataset
Total 21 sentences for each subject.
7 emotions. 3 sentences for each emotion.
500 Participants
English Emotional multi-modal audio/video dataset
There are 7 emotions, and for each emotion, subject speak 3 sentences.
100 Participants
English General multi-modal audio/video dataset
There are 3 devices: 1 smartphone recording video+1 smartphone recording audio+1 mic recording audio, and aligned manually.
Each subject speak 300 sentence
100 Participants
General Multi Modal Audio/Video Face Dataset
500 Participants
Head Pose Face Data
East Asian 200 Caucasian 200 African 200 South Asian 200 other countries 200
1000 Participants
Hi-Fi 3D Mask Attack Data
8 devices: 2 RGBD devices + 6 smartphones
26 lighting contiditions
75 Participants
Hi-Fi Challenge Dataset–Public Dataset For ICCV 2021
8 devices: 2 RGBD devices + 6 smartphones
East Asian 25 African 25 Caucasian 25
75 Participants
Human Action Recognition Data
20 actions Phone camera(4K or 1080P, 60FPS) and D435(720P, 30FPS) are used to capture the video. 20 actions: slide left, slide right, wave with one arm, wave with both arms, draw circles, draw forks, clap, throw, bend, push forward, squat, high knees, punch with both hands, jump, sit, jog in place, kick, jumping jacks, push with both hands, chest-expanding exercise.
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