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2,937 People with Occlusion and Multi-pose Face Recognition Data

Face recognition
Face occlusion
Multi-pose per person
Face with mask
mask-on face detection

2,937 People with Occlusion and Multi-pose Face Recognition Data, for each subject, 200 images were collected. The 200 images includes 4 kinds of light conditions * 10 kinds of occlusion cases (including non-occluded case) * 5 kinds of face pose. This data can be applied to computer vision tasks such as occluded face detection and recognition.

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SpecificationsSpecifications
Data size
2,937 people, 200 images per person
Race distribution
Asian(Vietam .etc.)
Gender distribution
1,480 males , 1,457 females
Age distribution
ranging from teenager to the elderly, the middle-aged and young people are the majorities
Collecting environment
including indoor and outdoor scenes
Data diversity
multiple face poses, multiple occlusion cases, multiple ages, multiple light conditions and scenes
Device
cellphone
Data format
.jpg
Accuracy
the accuracy of labels of face pose, occlusion case, gender and age is more than 97%
Sample Sample
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