eCommerce Data Labeling Services for Product Catalogs, Attributes, and Visual Search AI

Ecommerce platforms depend on accurate product data to power search, recommendations, logistics, and advertising. AI systems trained on well annotated images and metadata can classify products, extract attributes, match variations, detect defects, and improve catalog consistency.DataVLab provides eCommerce data labeling services for online retailers, marketplaces, DTC brands, visual search companies, and retail media teams. Our annotators follow strict taxonomy rules, attribute definitions, and category guidelines aligned with your platform.We support product classification, attribute extraction, variation labeling, style tagging, defect detection, bounding boxes, segmentation, quality tagging, moderation, and duplicate detection.Quality control includes taxonomy checks, content validation, attribute verification, and multi level review.