Women's Dress Fitting Dataset
#image generation #style transfer #augmented reality #online fitting #virtual fitting room #e-commerce display
- 10000 records
- 2.1G
- JPG/PNG/JSON
- CATL
MOBIUSI INC
Updated:2026-04-18
AI Analysis & Value Prop
The current retail e-commerce industry faces the problem of insufficient online shopping experience, especially since consumers cannot realistically try on clothes before purchasing, leading to high return rates. Most existing virtual fitting technologies are based on simple image processing and cannot accurately reflect the matching effect of clothing and models. This dataset aims to provide high-quality dress fitting images to help develop more accurate virtual fitting solutions. Data collection uses professional photography equipment, selecting various models and backgrounds to ensure diversity and authenticity. Quality control measures include multiple rounds of labeling and expert review, with storage formats in JPG and JSON, and data organized in a clear and orderly manner.
Dataset Insights
Sample Examples
cc11c590**.jpg|1280*2575|499.17 KB
e361c93c**.jpg|1280*2843|544.24 KB
02797238**.jpg|1280*1942|334.86 KB
44e7d8fd**.jpg|1280*3013|514.46 KB
e841c965**.jpg|1280*2836|514.25 KB
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| quality | string | Resolution |
| dress_color | string | This field indicates the color of the dress, such as red, blue, etc. |
| dress_pattern | string | This field describes the pattern of the dress, such as stripes, floral, etc. |
| dress_length | string | This field indicates the length of the dress, such as mini, midi, or maxi. |
| sleeve_type | string | This field reflects the type of sleeve on the dress, such as sleeveless, long-sleeve, short-sleeve. |
| neckline_type | string | This field describes the neckline style of the dress, such as a round neck, V-neck, or off-shoulder. |
| dress_fit | string | This field defines the fit of the dress, such as slim, loose, or A-line. |
| model_pose | string | This field describes the pose of the model wearing the dress, such as standing, walking. |
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 types of images are included in the Women's Dress Try-On Dataset?
- The dataset mainly contains images of women trying on various dresses, suitable for virtual try-on applications on e-commerce platforms.
- How can the Women's Dress Try-On Dataset be used to improve virtual try-on technology?
- By utilizing the rich try-on image data, developers can train models to more accurately simulate the try-on effect of different dresses, thereby enhancing the user experience of virtual try-on technology.
- Who can benefit from the Women's Dress Try-On Dataset?
- Clothing brands, developers of e-commerce platforms, and academic institutions researching virtual try-on technology can benefit from it to improve product display and user satisfaction.
- What are the applications of the Women's Dress Try-On Dataset in the retail industry?
- This dataset can be used to develop virtual fitting rooms, providing a more realistic try-on experience for online shopping, thereby increasing customer purchase decision speed and satisfaction.
- What are the main advantages of the Women's Dress Try-On Dataset?
- The dataset provides a large number of usable try-on images, which can significantly improve the accuracy and diversity of virtual try-on systems.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2025,
title={Women's Dress Fitting Dataset},
author={MOBIUSI INC},
year={2025},
url={https://www.mobiusi.com/datasets/b45b96f0ef810baed87d3c4140165a8c?dataset_scene_id=9},
urldate={2025-09-15},
keywords={women's dress, fitting dataset, e-commerce virtual fitting, image synthesis},
version={1.0}
}Using this in research? Please cite us.
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