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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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SpecificationsSpecifications
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%
Sample Sample
  • 25,581 Images - 88 Facial Landmarks Annotation Data
  • 25,581 Images - 88 Facial Landmarks Annotation Data
  • 25,581 Images - 88 Facial Landmarks Annotation Data
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87,871 Images of 106 Facial Landmarks Annotation Data (complicated scenes),this dataset includes yellow race, black race, white race and Indian people. In order to be more challenging, the data includes multiple scenes, multiple poses, different ages, light conditions and complicated expressions. This data can be used for tasks such as face detection and face recognition.

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