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Face Data

Computer Vision Dataset
65000 Images Face Landmark Dataset-57 Key Points
4200 Participants
65000 Images
65000 images. there is one face in one image. we mark the 57 keypoinst. In this dataset, there are 1300 african, 850 asian, 850 central asian, 750 caucasian and 450 indian.
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2022 multi-view face dataset
1000 Participants
5 photos and Nine videos
including a front-facing photo, a 45-degree left angle photo, a 90-degree left angle photo, a 45-degree right angle photo, and a 90-degree right angle photo; including a front-facing photo, a 45-degree left angle photo, a 90-degree left angle photo, a 45-degree right angle photo, and a 90-degree right angle photo
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2022 English Speaker face movement dataset
English Speaker
100 ID
There are 7 emotions
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English General multi-modal audio/video dataset
100 Participants
Each subject speak 300 sentence
There are 3 devices: 1 smartphone recording video+1 smartphone recording audio+1 mic recording audio, and aligned manually.
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English Emotional multi-modal audio/video dataset
100 Participants
There are 7 emotions, and for each emotion, subject speak 3 sentences.
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Emotional Multi Modal Audio/Video Dataset
500 Participants
7 emotions. 3 sentences for each emotion.
Total 21 sentences for each subject.
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General Multi Modal Audio/Video Face Dataset
500 Participants
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Photo Attack Face Dataset
6,000 participants
60,000 videos
Africans, Central Asians, East Asians
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Screen/Cloth Attack Anti-spoofing Facial Dataset
3,000 participants
45,000 videos
Africans, Central Asians, East Asians
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3D Mask Attack Anti-spoofing Facial Dataset
1,000 participants
4,000 videos
Different light
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Anti-spoofing Face Dataset
1,000 participants
243,600 videos
Different light
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Multiracial 3D Multi Expression Facial Dataset
8400 Participants
50400 videos
East Asians,Southeast Asians,Central Asians,South Asians
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African 3D Multi-posture Facial data
3000 participants
6 video
Head left, head right, head up, head down,with glasses, free
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Chinese 3D Multi Posture Data
10000 Participants
1 ID photo+6 video
China-East Asian
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6000 Participants Photo Attacks Face Attacks Data
6000 Participants
African 2000 Mid Asian 2000 East Asian 2000
10 videos 1.2 real videos, 8 photo attack videos 2. Print the photos, and record the attack video by leaking out the areas of the eyes, nose, and mouth.
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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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3D Autonomous Driving Data
Lidar +6 cameras
we mark 70000 frames from videos(we extract 1 frame for 1 second). There are about 1200000 3D bouding boxs in this dataset. car、bus、trcuk、van、pedestrian、tricycle、cyclist are marked in this dataset. The data is captured in China. ​
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Head Pose Face Data
1000 Participants
East Asian 200 Caucasian 200 African 200 South Asian 200 other countries 200
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Bystander Face Dataset
1000 Participants
East Asian 200 Caucasian 200 African 200 South Asian 200 other countries 200
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Short Video Data
20000 Pvideo
videos are downloaded from the tiktok app
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Chinese 3D Head Model Data
800 Participants
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Multi Ethnic 3D Head Model Face Data
200 Participants
1:1:1:1 ratio of white, black, yellow, and other races,
50 people for each race High-definition 3D head model data of 13 emoticons for 1 person
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Supermarket Shelf Surveillance Data
12,000 surveillance images of supermarket containers, taken with two cameras, axis and Hik camera.
(1) The goods on the shelves photographed at each point will gradually decrease with the photographing;
(2) A total of 200 spots were taken, and 60 photos were collected at each spot.
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Multi Scene Cross Camera Face Mask Data
300 Participants
East Asian 100 African 100 Caucasian 100
indoor outdoor
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