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

106 Facial landmarks

Multi-race

Multi-expression

Facial attributes

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.

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

Specifications

Data size

87,871 images. There is only one face in an image

Gender distribution

male: 37,268 images, female: 50,603 images

Race distribution

56,325 images of yellow race, 15,625 images of white race, 4,492 images of black race, 11,432 images of Indian

Age distribution:

baby: 3,848 images；teenager: 5,792 images； young: 64,935 images； midlife: 9,879 images； senior: 3,418 images

Collecting environment

including indoor and outdoor scenes

Data format

.jpg, .json

Data diversity

multiple scenes, multiple poses, multiple ages, multiple light conditions and complicated expressions

Annotation content

9 facial attributes, 106 facial landmarks

Accuracy

annotation accuracies of facial attributes and landmarks are over 97%

Sample

Recommended Dataset

25,581 Images - 88 Facial Landmarks Annotation Data

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.

88 facial landmarks multiple scenes different ages different races different light conditions multiple face postures and expressions face detection face recognition face segmentation

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

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

106 Facial landmarks

Multi-race

Multi-expression

Facial attributes

Complicated scenes