FindsAIDatabase/findsai-products

findsAi Products Dataset

Fashion product catalog for findsAi image matching model.

Dataset Information

• Total Products: 1,505
• Retailers: Neiman Marcus (505), The RealReal (500), Nordstrom (500)
• Categories: Tops (300), Bottoms (300), Shoes (302), Bags (300), Accessories (303)

Files

• findsai_products.json - Complete product data in JSON format
• findsai_products.csv - Product data in CSV format
• dataset_info.json - Dataset metadata and statistics

Usage

from datasets import load_dataset

# Load the dataset
dataset = load_dataset("Kanishkagarwal6101/findsai-products")

# Access the data
products = dataset['train']
print(f"Loaded {len(products)} products")

# Example: Get first product
first_product = products[0]
print(f"Title: {first_product['title']}")
print(f"Brand: {first_product['brand']}")
print(f"Image: {first_product['image_primary']}")

Fields

• id - Unique product ID
• retailer - Retailer name (neiman_marcus, therealreal, nordstrom)
• retailer_product_id - Retailer's internal product ID
• title - Product title
• brand - Brand name
• price - Product price
• currency - Currency code
• availability - Availability status
• canonical_url - Product URL
• image_primary - Primary product image URL
• category_norm - Normalized category
• category_raw - Raw category
• color - Product color
• gender - Target gender
• raw_json_ld - Raw JSON-LD data
• created_at - Creation timestamp
• updated_at - Last update timestamp

License

MIT License

Tags

fashion, e-commerce, product-catalog, image-matching, embeddings