README.md

1930-People-with-Occlusion-and-Multi-pose-Face-Recognition-Data

Description

1,930 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.

For more details, please refer to the link: https://www.nexdata.ai/datasets/computervision/1073?source=Github

Data size

1,930 people, 200 images per person

Race distribution

Asian

Gender distribution

959 males , 971 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%

Licensing Information

Commercial License