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Masked Face Recognition Dataset with 6,502 People and 45K+ Images

masked face recognition dataset
occluded face dataset
gauze mask face dataset
occluded face recognition data
face dataset with masks
face verification dataset

This dataset contains facial images from 6,502 individuals, with 7 images collected for each person under diverse real-world conditions. The dataset covers various demographic characteristics, including different age groups and ethnic backgrounds,covering Asian, Black, Caucasian, and other populations, as well as multiple environments such as indoor and outdoor scenes. It includes different mask types, facial occlusion conditions, and lighting variations. The dataset is suitable for masked face recognition, face verification and face identification.

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SpecificationsSpecifications
Data content
6,502 people of face images with mask, 7 images per person
Data distribution
① different races like Asian (5,044 people), black (951 people), brown (42 people), Caucasian (465 people); ② different genders like female(3,828 people) and male(2,674 people); ③ different ages like teenager, young, middle-aged and the elderly; ④ different scenes like indoor and outdoor; ⑤ different types of mask and light condition
Collection device
cellphone
Data format
.jpg, .jpeg
Sample Sample
  • Masked Face Recognition Dataset with 6,502 People and 45K+ Images
  • Masked Face Recognition Dataset with 6,502 People and 45K+ Images
  • Masked Face Recognition Dataset with 6,502 People and 45K+ Images
Recommended DatasetsRecommended Dataset
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