21,300 Images - Human Body Segmentation Data

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21,300 Images - Human Body Segmentation Data_21,300 Images - Human Body Segmentation Data

21,300 Images - Human Body Segmentation Data

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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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21,300 Images - Human Body Segmentation Data

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21,300 Images - Human Body Segmentation Data