Photo by Shubham Dhage on Unsplash

BodyM Dataset Dataset for Machine Learning

Install DagsHub:

pip install dagshub
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To stream this data directly on DagsHub

from dagshub.streaming import DagsHubFilesystem

fs = DagsHubFilesystem(".", repo_url="https://dagshub.com/DagsHub-Datasets/bodym-dataset")

fs.listdir("s3://amazon-bodym")
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Description

The first large public body measurement dataset including 8978 frontal and lateral silhouettes for 2505 real subjects, paired with height, weight and 14 body measurements. The following artifacts are made available for each subject. – Subject Height – Subject Weight – Subject Gender – Two black-and-white silhouette images of subject standing in frontal and side pose respectively with full body in view. – 14 body measurements in cm – {ankle girth, arm-length, bicep girth, calf girth, chest girth, forearm girth, height, hip girth, leg-length, shoulder-breadth, shoulder-to-crotch length, thigh girth, waist girth, wrist girth} The data is split into 3 sets – Training, Test Set A, Test Set B. For the training and Test-A sets, subjects are photographed and 3D-scanned by in a lab by technicians. For the Test-B set, subjects are scanned in the lab, but photographed in a less-controlled environment with diverse camera orientations and lighting conditions, to simulate in-the-wild image capture. Some subjects have been photographed more than once with different clothing in order to test robustness of the dataset.

Additional information

Update frequency

None

Managed by

Amazon

License

Creative Commons Attribution-Non Commercial 4.0 International Public License – https://creativecommons.org/licenses/by/4.0/legalcode

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