|
--- |
|
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 |
|
|
|
.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** |
