15.3k RAW Studio Fashion: The Gold Standard for AI

Dataset Features

• File Name & Folder Source: Exact file identifier and directory.
• Brand/Designer: Luxury houses like Diane von Furstenberg, Brooks Brothers, La Perla.
• Item: Specific garment classification (e.g., Designer Dress, Winter Parka).
• Fabric/Material: Dominant textile composition (e.g., Silk Jersey, Chantilly Lace, Gore-Tex).
• Color: Standardized primary color or pattern.
• Lighting: High-Key White studio conditions for flawless background removal.
• Usage: Designated commercial licensing application.

Distribution & Structure

• Data Volume: 15,385 High-Res JPEG images paired with UTF-8 CSV metadata.
• Structure: Segregated into 7 categorical sub-folders with a unified master metadata sheet.

Primary AI Applications

• Generative Fashion & Virtual Try-On: Learn accurate garment drape, weight, and dimensional wrapping.
• Fabric & Texture Rendering: Distinguish micro-textures like lace, silk, and heavy wool with ultra-high-resolution data.
• Apparel Detection & Segmentation: Perfectly lit backgrounds for training pixel-perfect segmentation algorithms.

Coverage & Provenance

• Geographic Coverage: Global luxury brands.
• Time Range: 2008 – 2015.
• Demographics: Men's and Women's luxury apparel, activewear, intimates, and accessories.
• Provenance: 100% copyright reserved by creator. Guaranteed zero web-scraping.

License: Commercial AI Training & Fine-Tuning

1. Train & Fine-Tune: Use the dataset to train and evaluate machine learning models, including LLMs and diffusion models.
2. Commercialize Outputs: Incorporate dataset content into models and commercialize resulting generated outputs.
3. Create Derivatives: Create derivative works like model weights and embeddings for any lawful purpose.

Restrictions: The raw dataset itself may not be sold, redistributed, or shared outside of licensed usage.