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Body Measurements Image Dataset

The dataset contains images of the human body with corresponding text files and detailed anthropometric measurements, including body scans, body shapes, and circumference annotations, making it a valuable body measurements dataset that provides precise training data for AI models, personalized recommendations in e-commerce, pose estimation, and computer vision applications

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  • Images
    13,000+
  • People
    1,000
  • Segmentation
  • Computer Vision
  • Machine Learning
  • Object Detection
  • Pose Estimation

The dataset contains images of the human body with corresponding text files and detailed anthropometric measurements, including body scans, body shapes, and circumference annotations, making it a valuable body measurements dataset that provides precise training data for AI models, personalized recommendations in e-commerce, pose estimation, and computer vision applications

Get in touch Download sample
  • Segmentation
  • Computer Vision
  • Machine Learning
  • Object Detection
  • Pose Estimation
  • Images
    13,000+
  • People
    1,000

Dataset Info

Characteristic Data
Description Image of people for body segmentation
Data types Image
Tasks Human Segmentation, Pose Estimation, Computer Vision
Number of people 1,000
Number of files in a set 13 images (side, front, pelvis circumference, chest circumference, hips circumference, front build, calf circumference, upper arm, under chest, arm length, thigh circumference, arm circumference, waist circumference)
Total number of files 13,000
Labeling Metadata (ID, height, weight, age, gender, race, profession) and annotation (arm circumference(cm), arm length(cm), calf circumference(cm), chest circumference(cm), front build(cm), hips circumference(cm), pelvis circumference(cm), thigh circumference(cm), under chest circumference(cm), upper arm length(cm), waist circumference(cm))
Gender Male, Female
Ethnicity Caucasian, Indian, African, Latino Hispanic, Maghreb
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Statistics

Distribution by gender
Distribution by ethnicity

Technical
Characteristics

Characteristic Data
Image extension jpg
Annotation extension json
Source and collection methodology: Data was collected via crowdsourcing platforms.

Dataset Use Cases

  • Fashion & E-Commerce

    Clothing Fit Prediction Models

    Body Measurements Image Dataset helps fashion retailers develop systems that improve clothing size recommendations. Since the dataset consists of people in swimsuits with detailed annotations, it supports body segmentation and pose estimation. By using this clothing dataset, companies can train vision models to predict body shapes and achieve more accurate virtual try-on experiences.



  • Healthcare & Fitness

    Body Shape Analysis and Monitoring

    Healthcare providers and fitness platforms rely on this human segmentation dataset for analyzing body parts and tracking human body changes over time. The dataset offers manually annotated images with segmentation masks, allowing deep learning systems to measure proportions and progress. This improves applications in weight management, rehabilitation, and personalized training methods based on segmentation accuracy.



  • Computer Vision Research

    Advancing Human Segmentation Tasks

    Research labs use the swimsuit human segmentation dataset as a benchmark for semantic segmentation and instance segmentation tasks. The training set contains RGB images, manually segmented with binary segmentation masks and corresponding annotations. These properties make it one of the strongest benchmark datasets, helping deep neural networks achieve high accuracy in automatic segmentation and image classification.



  • AI & Technology Development

    Improving Deep Learning Models

    The images in the swimsuit dataset are essential for developing computer vision tools in human parsing and body-part segmentation. As the dataset includes original images with manual annotations, it reduces the need for manually labeling large-scale data collections. By integrating this body part segmentation dataset into pipelines, companies significantly improve recognition systems and enhance future vision tasks.



FAQs

What types of annotations are provided?
Body Measurements Image Dataset includes rich anthropometric data, covering measurements like pelvis circumference, hip circumference, thigh circumference, upper arm length, and more. These annotations enable the development of 3D models, body scans, and precise body shape recognition systems for research and commercial use.
How was the data collected?
This dataset was created using structured image captures of 1,000 participants across diverse demographics, including Caucasian, Indian, African, Latino Hispanic, and Maghreb groups. The process ensures a wide range of human body shapes and anthropometric measurements, making it highly reliable as training data and a test set for AI and data analysis.
Can I request a sample of the dataset before purchasing or downloading it?
Yes, a sample can usually be requested to help evaluate the dataset. Reviewing a sample lets you check the image quality, annotation format (JSON), and body measurement metadata to confirm that it fits your computer vision or AI training needs.
What is included in this dataset?
It contains 13,000 images of people with 13 different views and poses per subject, including front, side, and measurement-specific perspectives. Each set is enriched with metadata (age, height, weight, gender, race, profession) and detailed annotations such as arm length, chest circumference, and waist circumference.
Do Unidata datasets follow GDPR or other data privacy regulations?
Yes. We ensure datasets are compliant with GDPR and data protection laws. Data is sourced only from legitimate, legally approved channels.
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Datasets managed by Unidata are securely stored within AWS’s cloud environment, ensuring seamless scalability and uptime. Our compliance with ISO 27001 and ISO 27701 guarantees adherence to global security and privacy standards. This approach ensures robust protection and reliable management of all data.
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Unidata datasets comply with a dual licensing model: free samples are accessible for testing, while full datasets require purchase.
Is it unique data?
Yes, the dataset is unique. We collect it independently using our own processes, and it is not available from any open sources. The data is created exclusively for our clients and stored securely, with access provided only upon purchase.
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