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50,356 Images with 18 Landmarks - Human Body Segmentation Dataset
18 landmark human body dataset
full-body pose and segmentation dataset
human behavior recognition dataset
50356 human images for AI
human body segmentation dataset
This dataset contains 50,356 human images, The data covers diverse scenes, ages, races, poses, and appendages.In terms of annotation, each human body have 18 landmarks, with segmentation for the body and appendages. This dataset can be used for tasks such as human pose estimation, body part segmentation, action 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
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%;