---
title: "Swimsuit Human Segmentation Dataset"
description: "The dataset consists of RGB images of people in swimsuits with corresponding segmentation masks and detailed annotations, designed for semantic segmentation, body-part segmentation, and pose…"
url: "https://unidata.pro/datasets/swimsuit-human-segmentation-dataset/"
date_modified: "2025-11-27T19:37:44+03:00"
language: "en-US"
---
The dataset consists of RGB images of people in swimsuits with corresponding segmentation masks and detailed annotations, designed for semantic segmentation, body-part segmentation, and pose estimation tasks in deep learning, computer vision, and object detection models.

## Dataset Structure

### The Numbers Section

**Numbered list:**

- **Number:** 14,358 — **Text:** images
- **Number:** 7,178 — **Text:** people

### Tooltips Section

**Tooltip items:**

- **Name:** Segmentation
- **Name:** Computer Vision
- **Name:** Machine Learning
- **Name:** Object Detection
- **Name:** Pose Estimation

### Dataset Information

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Description | Image of people for facial recognition |
| Data types | Image |
| Tasks | Human Segmentation, Pose Estimation, Computer Vision |
| Number of people | 7,178 |
| Number of files in a set | 2 (image + mask) |
| Total number of files | 14,358 |
| Labeling | Metadata (ID, gender, body frame, tattoos(boolean), mirror photo(boolean )) |
| Gender | Male, Female |
| Types of body frames | Normal, athletic, overweight |

**Media Slider:**

- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/woman_image_2864.webp)
- **Image in the slider:** ![](https://unidata.pro/wp-content/uploads/2025/05/woman_mask_2864.webp)

### Statistics - Charts

**Charts with Titles:**

- **Shortcode:** [ays_chart id='56'] — **caption above the graph:** Gender distribution
- **Shortcode:** [ays_chart id="55"] — **caption above the graph:** Body type distribution
- **Shortcode:** [ays_chart id='57'] — **caption above the graph:** Tattoo
- **Shortcode:** [ays_chart id='58'] — **caption above the graph:** Photo in the mirror

### Technical Specifications

**Table with data:**

| Characteristic | Data |
| --- | --- |
| Image extension | jpg |
| Image resolutions | Min = 327x555, max = 3840x5760 |
| Mask extension | png |
| Mask resolutions | Min = 327x555, max = 3840x5760 |

**Source and data collection methodology:** Source and collection methodology: Data was collected via crowdsourcing platforms.

### Dataset Use Cases - Slider

**Industry Cards:**

- **Industry:** Fashion & Apparel — **Title:** Training Clothing Recognition Models — **Text:** Swimsuit Human Segmentation Dataset is valuable for building clothing datasets and people clothing segmentation models. With detailed segmentation masks of swimwear, researchers can train vision models for apparel recognition, body segmentation, and pose estimation. Such datasets help improve product tagging, catalog automation, and style-based search in fashion platforms.
- **Industry:** Computer Vision & AI Research — **Title:** Improving Human Parsing and Body Part Segmentation — **Text:** This human segmentation dataset supports semantic segmentation and instance segmentation tasks. The dataset consists of RGB images of people in swimsuits, paired with manual annotations for accurate body-part segmentation. Researchers can use it for deep learning experiments, neural network training, and evaluating segmentation accuracy across different body shapes and human poses.
- **Industry:** Healthcare & Sports Science — **Title:** Modeling Human Body Shapes for Analysis — **Text:** Sports scientists and healthcare researchers use the body part segmentation datasets to study human body proportions and movement. The detailed annotations allow precise analysis of body parts, which supports pose estimation and training vision models for motion tracking, rehabilitation studies, and performance optimization in athletics and swimming research.
- **Industry:** Robotics & Smart Devices — **Title:** Enhancing Human Detection and Interaction Systems — **Text:** Robotics and AR/VR developers apply this dataset for training object detection and human parsing algorithms. The training data includes manually segmented images, enabling robots and smart devices to achieve more accurate recognition of human poses. This large-scale dataset significantly improves computer vision applications in interactive environments.

### Fact

**FAQs Heading:** FAQs

**List of Questions:**

- **Question:** What types of annotations are provided? — **Answer:** The dataset offers metadata annotations such as ID, gender, body frame type, tattoos (boolean), and mirror photo (boolean). In addition, it provides binary segmentation masks for each human body, supporting body part segmentation dataset research and neural network training.
- **Question:** Is it possible to request a custom dataset? — **Answer:** Yes, Unidata can create custom datasets tailored to your requirements. You may request additional human poses, body-part segmentation, or specialized annotations to train vision models with higher segmentation accuracy and more detailed annotations.
- **Question:** What body variations are represented in the dataset? — **Answer:** The dataset includes male and female subjects with normal, athletic, and overweight body frames. Metadata also indicates tattoo presence and whether the image was captured in a mirror, increasing diversity for segmentation model training.
- **Question:** What can Swimsuit Human Segmentation Dataset be used for? — **Answer:** The dataset can be used for semantic segmentation, instance segmentation, and pose estimation tasks. It supports research and development in object detection, human parsing, automatic segmentation, and deep learning models that require precise human body segmentation dataset inputs.
- **Question:** How does this swimsuit human segmentation dataset improve body parsing models? — **Answer:** The dataset provides paired RGB images and pixel-level segmentation masks for 7,178 people, enabling accurate human body segmentation, semantic segmentation, and pose estimation. It helps train computer vision models to distinguish body regions under different body types, mirror conditions, and tattoo variations.
- **Question:** How long does it take to receive the dataset? — **Answer:** It typically takes 3–10 days to receive the dataset. Once you submit a request, we will contact you to review the details and finalize the necessary documents. After signing and payment, Swimsuit Human Segmentation Dataset will be securely delivered within this timeframe.
- **Question:** Do Unidata datasets follow GDPR or other data privacy regulations? — **Answer:** Yes. All datasets are designed in line with GDPR compliance and other data protection frameworks. Data is collected responsibly from lawful sources.
- **Question:** How is the data stored? — **Answer:** Unidata ensures all datasets are stored safely on AWS infrastructure, built for security, availability, and scalability. Our operations comply with ISO 27001 and ISO 27701, aligning with international benchmarks for data security and privacy. This delivers a trusted, compliant, and privacy-focused environment for users.

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