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Home > Off-the-shelf Datasets > Computer Vision Datasets > 50,356 Images - Human Body Segmentation and 18 Landmarks Data

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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SpecificationsSpecifications
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%;
Sample Sample
  • 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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