README.md

1019-people-with-occlusion-and-multi-pose-face-recognition-data

Description

1,019 people with occlusion and multi-pose face recognition data, each person has 36 images: one ID image (desensitized), 7 multi-posed faces without wearing mask、7 multi-posed faces of wearing mask、7 multi-posed faces of wearing glasses 、7 multi-posed faces of wearing hat and 7 multi-posed faces of wearing sunglasses. This data can be applied to computer vision tasks such as occluded face detection and recognition.

For more details, please refer to the link: https://www.nexdata.ai/datasets?source=Github

Data size

1,019 people, 36 images per person

Race distribution

Asian

Gender distribution

463 males, 556 females

Age distribution

ranging from teenager to the elderly, the middle-aged and young people are the majorities

Collecting environment

indoor scenes

Data diversity

multiple occlusion types, multiple ages, multiple light conditions and scenes

Device

cellphone

Data format

.jpg

Accuracy

the accuracy of labels of occlusion type, gender, race and age are more than 97%

Licensing Information

Commercial License