Product recognition, visual search, attribute extraction, and inventory management annotation for retail and e-commerce AI applications.
Retail AI Annotation Use Cases
- Product Detection - Identify and localize products on shelves and in images
- Attribute Extraction - Color, size, brand, material, pattern classification
- Visual Search - Train models to find similar products from photos
- Inventory Counting - Automated stock level monitoring from shelf images
- Planogram Compliance - Verify product placement against store layouts
Best Practices for Product Annotation
- Use product catalog (SKU database) as your label ontology source of truth
- Handle SKU variations and packaging changes consistently
- Annotate product vs. packaging separately when needed
- Define clear rules for partially visible products