21,300 Images - Human Body Segmentation Data

Multiple scenes

Multiple ages

Multiple races

Multiple postures

Multiple appendages

21,300 Images - Human Body Segmentation Data. The data includes indoor scenes and outdoor scenes. The data covers female people and male people. The race distribution includes Asian, black race and Caucasian. The age distribution ranges from teenager to the elderly, the middle-aged and young people are the majorities. The dataset diversity includes multiple scenes, ages, races, postures, and appendages. In terms of annotation, we adpoted pixel-wise segmentation annotations on human body. The data can be used for tasks such as human body segmentation.

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Specifications

Data size

21,300 images

Race distribution

Asian, Caucasian, black race

Gender distribution

male and female

Age distribution

ranging from teenager to the elderly, the middle-aged and young people are the majorities

Collecting environment

including indoor scenes and outdoor scenes

Data diversity

multiple scenes, ages, races, postures, and appendages

Data format

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

Annotation content

segmentation 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;the human body is regarded as the unit, the accuracy rate shall be more than 97%

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