Contents
- Tops & T-shirts Folder: Contains 1,000 images of tops and T-shirts with detailed metadata including brand, color, size, and price.
- Dresses Folder: Includes 800 images of dresses with corresponding metadata.
- Footwear Folder: Contains 600 images of various types of footwear, each annotated with relevant details.
- Accessories Folder: Includes 400 images of accessories such as bags, belts, and jewelry.
Applications
The dataset is ideal for:
- Training and validating machine learning models for fashion product classification.
- Developing recommendation systems for personalized shopping experiences.
- Enhancing visual search engines for fashion e-commerce.
Data Collection
Images and metadata were collected from Myntra’s product listings, ensuring a comprehensive representation of various fashion categories. Each product image is accompanied by metadata verified for accuracy.
Potential Use Cases
- E-commerce: Developing automated product tagging and recommendation systems.
- Retail Analytics: Analyzing trends and customer preferences based on product attributes.
- Educational Projects: Serving as a practical dataset for academic research on computer vision and fashion technology.