25,581 Images - 88 Facial Landmarks Annotation Data

88 facial landmarks

multiple scenes

different ages

different races

different light conditions

multiple face postures and expressions

face detection

face recognition

face segmentation

25,581 Images - 88 Facial Landmarks Annotation Data. The dataset includes Asian, black race, Caucasian and brown race. In order to be more challenging, the data includes multiple scenes, multiple poses, different ages, light conditions and complicated expressions. For annotation, 88 facial landmarks and visible and invisible attributes of landmarks were annotated. This data can be used for tasks such as face detection and face recognition.

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Specifications

Data size

25,937 images. There is only one human face in an image

Gender distribution

13,694 images for males, 11,887 images for females

Race distribution

7,207 images for Asian, 8,517 images for Caucasian, 7,941 images for blacks, 1,916 images for brown race

Age distribution

2,357 images under 18 years old, 21,363 images from 18 to 45 years old, 1,833 images from 46 to 60 years old, 28 images over 60 years old

Collecting environment

indoor scenes, outdoor scenes

Data diversity

multiple scenes, different ages, different races, different light conditions, multiple face postures and expressions

Data format

.jpg, .json

Annotation content

88 facial landmarks and visible and invisible attributes of landmarks were annotated

Accuracy rate

The landmarks location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation, and the annotation accuracy of landmarks is over 97%

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