E-commerce Product Dataset
Project Overview:
Objective
To establish a vast and varied dataset of e-commerce products, aiming to facilitate advancements in AI-driven e-commerce platforms, product recommendation systems, and inventory management solutions.
Scope
Compile images and metadata of a diverse range of e-commerce products across multiple categories and brands. Each product entry will have corresponding details like title, price, category, and customer reviews.
Sources
- Collaboration with e-commerce platforms to access their product catalogs and images.
- Data scraping from popular e-commerce websites, ensuring adherence to terms of use and data privacy regulations.
- Partnering with small to medium e-commerce retailers for exclusive access to niche products.
Data Collection Metrics
- Total Products: 1,000,000
- Electronics: 200,000
- Fashion & Apparel: 250,000
- Home & Living: 150,000
- Books & Stationery: 100,000
- Others (Toys, Groceries, etc.): 300,000
Annotation Process
Stages
- Metadata Compilation: Product details such as title, description, brand, and price are compiled.
- Image Annotation: Relevant tags are assigned to product images to classify and describe them better.
- Review & Validation: Industry experts review the collated data for accuracy and coherence.
Annotation Metrics
- Total Annotated Images: 1,200,000 (Some products have multiple images)
- Average Annotation Time per Product: 5 minutes
Quality Assurance
Stages
Automated Data Consistency Checks: Ensure product details don’t have discrepancies (e.g., an electronics item listed under the fashion category).
Image Verification:Â Use AI models to cross-verify that product images match their described categories and tags.
Expert Review:Â Products with high customer views or purchases are manually reviewed to ensure data accuracy.
QA Metrics
- Products Checked for Data Consistency: 600,000 (60% of total products)
- Images Verified using AI Models: 720,000 (60% of total images)
- Products Manually Reviewed: 50,000 (5% of total products)
Conclusion
The E-commerce Product Dataset is a pivotal resource for businesses aiming to integrate AI into their e-commerce platforms. By offering a comprehensive view of diverse products and their attributes, this dataset ensures better product recommendation, enhanced search functionalities, and improved customer experience on e-commerce platforms.
Quality Data Creation
Guaranteed TAT
ISO 9001:2015, ISO/IEC 27001:2013 Certified
HIPAA Compliance
GDPR Compliance
Compliance and Security
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