50,356 Images - Human Body Segmentation and 18 Landmarks Data

Human body segmentation

Landmark

Multiple races

Multiples postures

Multiple scenes

50,356 Images - Human Body Segmentation and 18 Landmarks Data. The data diversity includes multiple scenes, ages, races, poses, and appendages. In terms of annotation, we adpoted segmentation annotations on human body and appendages.18 landmarks were also annotated for each human body. The data can be used for tasks such as human body segmentation and human behavior recognition.

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Specifications

Data size

50,356 images

Race distribution

18,458 images of Asians, 27,191 images of Caucasians, 4,707 images of black race

Gender distribution

18,381 images of male, 31,975 images of female

Age distribution

young: 5,196 image; middle aged and young: 44,751 images; middle aged and elderly: 409 images

Collecting environment

including indoor scenes and outdoor scenes (such as natural scenery, street, square, architecture, etc.)

Data diversity

multiple scenes, ages, races, poses, and appendages

Data format

the image data format is .jpg and .png, the annotation file format is .json

Annotation content

segmentation annotation of human body and appendages, 18 landmarks annotation of human body

Accuracy

the mask edge location errors in x and y directions are less than 3 pixels, which is considered as a qualified annotation; Accuracy requirement of segmentation annotation: the annotation part (each part of mask) is regarded as the unit, the accuracy rate shall be more than 97%; Accuracy requirement of landmark annotation: the annotation part (each landmark) is regarded as the unit, the accuracy rate shall be more than 97%;

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