Autumn and Winter Coats Virtual Try-On Dataset

#image generation #style transfer #virtual try-on #online shopping #clothing recommendation
  • 10000 records
  • 1.4G
  • JPG/PNG/JSON
  • CC-BY-NC-SA 4.0
  • MOBIUSI INCMOBIUSI INC
Updated:2026-03-06

AI Analysis & Value Prop

In the current retail e-commerce industry, consumers increasingly prefer online shopping, but the lack of try-on experience makes purchasing decisions difficult. Existing virtual try-on technologies are mostly based on static images, lacking realism and interactivity, unable to meet users' needs. This dataset aims to provide a diverse range of autumn and winter coat virtual try-on images, synthesizing try-on effects in various styles and environments to help users make better purchasing decisions. Data collection uses advanced 3D modeling technology to simulate different models' body shapes and the dynamic effects of clothing. We ensure high-quality data through multiple rounds of annotation and consistency checks, with expert review confirmation. Data is stored in JPG format, with accompanying JSON files recording detailed information of each image, ensuring convenient access and use of the data.

Dataset Insights

Sample Examples

44c6e96c**.jpg|1280*1608|256.82 KB

f9987365**.jpg|1280*2146|357.60 KB

a1d6af97**.jpg|1280*1706|261.20 KB

8e67d171**.jpg|1280*2095|299.17 KB

fb584771**.jpg|1280*1706|275.39 KB

b119270a**.jpg|1280*2013|169.75 KB

Technical Specifications

Compliance Statement

Authorization TypeCC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike)
Commercial UseRequires exclusive subscription or authorization contract (monthly or per-invocation charging)
Privacy and AnonymizationNo PII, no real company names, simulated scenarios follow industry standards
Compliance SystemCompliant with China's Data Security Law / EU GDPR / supports enterprise data access logs

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Cite this Work

@dataset{Mobiusiundefined,
  title={},
  author={Mobiusi},
  year={undefined},
  url={https://www.mobiusi.com/datasets/c62187bd54cf15806dabde01d5b4e32a},
  urldate={},
  keywords={},
  version={}
}

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