---
tags:
- image generation
- motion recognition
- synthetic learning
- virtual try-on
- online shopping
- customer experience enhancement
license: cc-by-nc-sa-4.0
task_categories:
- image-to-image
language:
- en
pretty_name: Sweatpants Motion Try-On Dataset
size_categories:
- 1B<n<10B
---

# Sweatpants Motion Try-On Dataset

With the rapid growth of online retail e-commerce, the demand for personalized shopping experiences is increasing. However, most e-commerce platforms currently rely on static images for the try-on experience, lacking realism, which makes it difficult for users to accurately assess the fit of clothing, thus affecting purchase conversion rates. Existing virtual try-on solutions mostly use simple image processing techniques, lacking realistic simulation of dynamic movements. This dataset is constructed to provide synthetic images of various sweatpants under different movements, aimed at enhancing the online try-on experience. The dataset includes 5000 images generated using high-quality image synthesis techniques, covering various movements and models, effectively supporting the development of virtual try-on technologies. Data collection utilizes advanced image synthesis tools to simulate real try-on scenarios, ensuring diversity and authenticity of images. To ensure data quality, we implemented multiple rounds of annotation and consistency checks to ensure the accuracy of each sample. Additionally, all data is stored in JPEG format, organized by model and movement type for easy retrieval and use.

## Technical Specifications

| Field | Type | Description |
| :---  | :---  | :--- |
| file_name | string | File name |
| quality | string | Resolution |
| model_pose | string | The pose that the model has taken while trying on the sports pants. |
| pants_type | string | The category of sports pants, such as tights or loose pants. |
| color | string | The color of the sports pants. |
| fit_type | string | The fit style of the sports pants, such as slim, regular, or loose. |

## Compliance Statement

<table>
  <tr>
    <td>Authorization Type</td>
    <td>CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)</td>
  </tr>
  <tr>
    <td>Commercial Use</td>
    <td>Requires exclusive subscription or authorization contract (monthly or per-invocation charging)</td>
  </tr>
  <tr>
    <td>Privacy and Anonymization</td>
    <td>No PII, no real company names, simulated scenarios follow industry standards</td>
  </tr>
  <tr>
    <td>Compliance System</td>
    <td>Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs</td>
  </tr>
</table>

## Source & Contact

If you need more dataset details, please visit [Mobiusi](https://www.mobiusi.com/datasets/34748a838174d285d8f88eb2b39e2004?utm_source=huggingface&utm_medium=referral). or contact us via contact@mobiusi.com