README.md

metadata

language:
  - en
license: cc-by-nc-nd-4.0
task_categories:
  - image-classification
  - image-to-image
tags:
  - code
dataset_info:
  features:
    - name: front_img
      dtype: image
    - name: selfie_img
      dtype: image
    - name: side_img
      dtype: image
    - name: arm_circumference_cm
      dtype: string
    - name: arm_length_cm
      dtype: string
    - name: back_build_cm
      dtype: string
    - name: calf_circumference_cm
      dtype: string
    - name: chest_circumference_cm
      dtype: string
    - name: crotch_height_cm
      dtype: string
    - name: front_build_cm
      dtype: string
    - name: hips_circumference_cm
      dtype: string
    - name: leg_length_cm
      dtype: string
    - name: neck_circumference_cm
      dtype: string
    - name: neck_pelvis_length_front_cm
      dtype: string
    - name: neck_waist_length_back_cm
      dtype: string
    - name: neck_waist_length_front_cm
      dtype: string
    - name: pelvis_circumference_cm
      dtype: string
    - name: shoulder_length_cm
      dtype: string
    - name: shoulder_width_cm
      dtype: string
    - name: thigh_circumference_cm
      dtype: string
    - name: under_chest_circumference_cm
      dtype: string
    - name: upper_arm_length_cm
      dtype: string
    - name: waist_circumference_cm
      dtype: string
    - name: height
      dtype: string
    - name: weight
      dtype: string
    - name: age
      dtype: string
    - name: gender
      dtype: string
    - name: race
      dtype: string
    - name: profession
      dtype: string
    - name: arm_circumference
      dtype: image
    - name: arm_length
      dtype: image
    - name: back_build
      dtype: image
    - name: calf_circumference
      dtype: image
    - name: chest_circumference
      dtype: image
    - name: crotch_height
      dtype: image
    - name: front_build
      dtype: image
    - name: hips_circumference
      dtype: image
    - name: leg_length
      dtype: image
    - name: neck_circumference
      dtype: image
    - name: neck_pelvis_length_front
      dtype: image
    - name: neck_waist_length_back
      dtype: image
    - name: neck_waist_length_front
      dtype: image
    - name: pelvis_circumference
      dtype: image
    - name: shoulder_length
      dtype: image
    - name: shoulder_width
      dtype: image
    - name: thigh_circumference
      dtype: image
    - name: under_chest_circumference
      dtype: image
    - name: upper_arm_length
      dtype: image
    - name: waist_circumference
      dtype: image
  splits:
    - name: train
      num_bytes: 86120
      num_examples: 21
  download_size: 68560913
  dataset_size: 86120

Body Measurements Dataset

The dataset consists of a compilation of people's photos along with their corresponding body measurements. It is designed to provide information and insights into the physical appearances and body characteristics of individuals. The dataset includes a diverse range of subjects representing different age groups, genders, and ethnicities.

The photos are captured in a standardized manner, depicting individuals in a front and side positions. The images aim to capture the subjects' physical appearance using appropriate lighting and angles that showcase their body proportions accurately.

The dataset serves various purposes, including:

• research projects
• body measurement analysis
• fashion or apparel industry applications
• fitness and wellness studies
• anthropometric studies for ergonomic design in various fields

Get the dataset

This is just an example of the data

Leave a request on https://trainingdata.pro/data-market to discuss your requirements, learn about the price and buy the dataset.

Content

Folders

• files: includes folders with photos and measurements of people
• proofs: contains subfolders, corresponding to the original photos in files folder and includes additional photos of people taking measurements
• .pdf file: includes information about photos in proofs folder

"Files" folder includes 3 images of a person and json file with measurements:

• selfie - the person is looking to the camera; face, neck and shoulders are clearly seen,
• front photo - the person stands in front of the camera, all body parts are clearly seen,
• side photo - the person turned sideways to the camera, all body parts are clearly seen
• json file - includes 14 measurements (weight, height, hips circumference, leg length etc.) and 4 additional characteristics (age, gender, race, profession) of a person, depicted in photos in the subfolder

File with the extension .csv

includes the following information for each media file:

• selfie: link to the selfie,
• front: link to the front photo,
• side: link to the side photo,
• measurements: link to the json file with measurements

Body Measurements might be collected in accordance with your requirements.

TrainingData provides high-quality data annotation tailored to your needs

More datasets in TrainingData's Kaggle account: https://www.kaggle.com/trainingdatapro/datasets

TrainingData's GitHub: https://github.com/Trainingdata-datamarket/TrainingData_All_datasets