The "Clothing Pattern Classification Dataset" is specifically designed to address the needs of the fashion industry, focusing on the classification of various clothing patterns. This dataset gathers internet-collected images that showcase clothing from different scenarios such as e-commerce platforms, fashion shows, social media, and offline user-generated content. It aims to facilitate the development of AI models that can accurately recognize and classify over 30 common clothing patterns, enhancing online shopping experiences and supporting trend analysis.
If you has interested in the full version of the datasets, featuring 220k annotated images, please visit our website maadaa.ai and leave a request.
| Dataset ID | MD-Fashion-2 |
|---|---|
| Dataset Name | Clothing Pattern Classification Dataset |
| Data Type | Image |
| Volume | About 220k |
| Data Collection | Internet collected images covers typical scenarios such as e-commerce, fashion shows, social media and offline user-generated content, etc. |
| Annotation | Bounding Box,Classification |
| Annotation Notes | More than 30 categories of common patterns. |
| Application Scenarios | Smart Retail, SNS, E-Commerce, Fashion & Apparel, Visual Entertainment |
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