Shirt Virtual Try-On Comparison Dataset
#image generation #style transfer #virtual try-on #e-commerce platform #user experience enhancement
- 12000 records
- 10G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-18
AI Analysis & Value Prop
In the current retail e-commerce industry, consumer demand for virtual try-on is increasing. However, existing technologies still face many challenges in image synthesis and user experience, such as poor image quality and unnatural synthesis effects. This dataset aims to address the current deficiencies in visual realism and user satisfaction by providing high-quality virtual shirt try-on images. The dataset construction process includes collecting user images from various angles, generating shirt images using deep learning techniques, and adopting a multi-round review and expert evaluation during annotation to ensure the quality and consistency of the data. The data storage format uses PNG and JPG for flexible application across different platforms. Strict quality control is applied to the data to ensure high precision and realism in image synthesis.
Dataset Insights
Sample Examples
d51e1858**.jpg|1280*1296|138.85 KB
e23f719d**.jpg|1280*1199|178.28 KB
6394d478**.jpg|1280*1706|248.78 KB
d35d39d2**.jpg|1280*1515|124.15 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| shirt_color | string | Information about the color of the shirt in the image. |
| shirt_style | string | The style of the shirt in the image, such as long-sleeve or short-sleeve. |
| mannequin_pose | string | Description of the mannequin's pose in the image. |
Compliance Statement
| Authorization Type | Proprietary - Commercial AI Training License (No Redistribution) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What is the Shirt Virtual Try-On Dataset?
- The Shirt Virtual Try-On Dataset is a multimodal dataset consisting of high-quality shirt try-on images to enhance the virtual try-on experience for e-commerce platforms.
- Which industry sector is the dataset primarily intended for?
- The dataset is primarily intended for the retail industry, particularly for virtual try-on scenarios in e-commerce platforms.
- How does this dataset improve user experience in e-commerce?
- By providing high-quality virtual try-on images, users can more accurately assess the fit and style of shirts during online shopping, thereby enhancing their shopping experience and satisfaction.
- How were the images in the dataset captured?
- The images in the dataset were captured using professional photography equipment and techniques to ensure high quality and authenticity.
- Why were shirts chosen as the subject for virtual try-on?
- Shirts are a common category in e-commerce clothing. By studying virtual try-on effects for shirts, we can effectively enhance the try-on experience for other types of clothing as well.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Shirt Virtual Try-On Comparison Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/616458a09a30dc0f8a0cb0d7cb88f2a8},
urldate={2025-09-15},
keywords={virtual try-on, shirt try-on dataset, e-commerce image synthesis, image processing},
version={1.0}
}Using this in research? Please cite us.
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