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Occluded Face Recognition Dataset – 2,937 People, 587,400 Images with Multi-poses

occlusion face recognition dataset
occluded face detection dataset
face recognition with occlusion dataset
occluded face dataset

This dataset contains 2,937 people with 200 images per subject, totaling 587,400 images. Each subject was captured under 4 kinds of light conditions, 10 kinds of occlusion cases (including non-occluded case) and 5 kinds of face poses. This data can be applied to computer vision tasks such as occluded face detection, recognition, and pose-invariant face recognition tasks.

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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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