---
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

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F618942%2Fef4464044f810b1ada765ae99597b15a%2FMacBook%20Air%20-%201%20(3).png?generation=1688983133539816&alt=media)

# Get the dataset

### This is just an example of the data

Leave a request on [**https://trainingdata.pro/data-market**](https://trainingdata.pro/data-market/body-measurements?utm_source=huggingface&utm_medium=cpc&utm_campaign=body-measurements-dataset) 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**](https://trainingdata.pro/data-market/body-measurements?utm_source=huggingface&utm_medium=cpc&utm_campaign=body-measurements-dataset) 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**