Myntra Fashion Product Dataset

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.

This dataset is sourced from Kaggle.