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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.

This is a paid datasets for commercial use, research purpose and more. Licensed ready made datasets help jump-start AI projects.

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%

Sample

Recommended Dataset

87,871 Images of 106 Facial Landmarks Annotation Data (complicated scenes)

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.

106 Facial landmarks Multi-race Multi-expression Facial attributes Complicated scenes

399 Asians - 35,112 Images Multi-pose Face Data with 21 Facial Landmarks Annotation

The 399 Asians - 35,112 Images Multi-pose Face Data with 21 Facial Landmarks Annotation data is collected from 399 people. The data diversity includes multiple poses, different ages, different light conditions and multiple scenes. This data can be used for tasks such as face detection and face recognition. Thee accuracy of labels of gender, face pose, year of birth, light condition, scene and wearing glasses or not is more than 97%;annotation accuracy of facial landmarks is more than 97%

21 facial landmarks Face detection Face recognition facial key point dataset facial landmark

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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

88 facial landmarks

multiple scenes

different ages

different races

different light conditions

multiple face postures and expressions

face detection

face recognition

face segmentation