Myntra Fashion Product Dataset
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Myntra Fashion Product Dataset
Datasets
Myntra Fashion Dataset
File
Myntra Fashion Product
Use Case
Myntra Fashion Product
Description
Explore the Myntra Fashion Dataset, featuring high-quality images and detailed metadata of fashion products including tops.
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Description:
The “Myntra Fashion Dataset” is curated to aid in the development and evaluation of machine learning models for fashion product recognition and recommendation. The dataset comprises high-quality images and metadata of various fashion products from Myntra, categorized by type, brand, and other attributes.
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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.
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