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

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50,356 Images - Human Body Segmentation and 18 Landmarks Data_50,356 Images - Human Body Segmentation and 18 Landmarks Data

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

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

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