Source: amazon.com ยท Format: ZIP
Description
This dataset contains a large-scale collection of Amazon random products with images and structured metadata, designed for ecommerce research, machine learning, and application development. Each product record is linked to locally stored product images, ensuring fast access without external dependencies.
All product images have been downloaded and stored locally, and the corresponding local image file paths are attached to each product record. This makes the dataset ideal for offline processing, computer vision tasks, product classification, recommendation systems, and UI prototyping.
The dataset includes over 99,000+ unique product records and more than 493,000+ high-quality product images, with multiple images available per product. Metadata is organized in a clean, structured schema that supports seamless integration with databases, APIs, and machine learning pipelines.
This dataset can be used for:
Product image recognition and similarity search
Ecommerce recommendation engines
Data science and analytics projects
AI/ML model training and testing
Marketplace UI/UX demos and mock stores
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Data fields
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Dedicated data platform for beauty brands and analysts. Product listings, reviews, and pricing from Sephora, Ulta, Nykaa, and 50+ retailers โ structured and updated regularly.
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