Accelerating AI Innovation in Fashion & Retail Through High-Precision Data
At Annotaid, we deliver top-tier data annotation services designed specifically for the fashion and retail industry. From image tagging for recommendation engines to sentiment analysis of product reviews, our services power intelligent retail experiences. We collaborate with e-commerce platforms, fashion tech startups, and retail analytics teams to create precise, tailored datasets that drive everything from virtual try-ons to trend forecasting.
Why Fashion & Retail Brands Choose Annotaid?
Domain-Trained Annotators:
Experts familiar with fashion terminology, apparel types, product tagging, and e-commerce taxonomy
Retail-Ready Datasets
Multi-format annotations optimized for cataloging, search engines, AR/VR applications, and style-based filters.
Compliance & Privacy:
GDPR-compliant workflows for customer data, purchase behavior, and review sentiment
Scalable Annotation Pipelines:
Able to manage vast inventories across seasons, brands, and categories
Types of Annotation for Fashion & Retail
We offer end-to-end annotation solutions tailored to a wide range of healthcare applications:
Product Image Annotation
Bounding boxes, polygons, and semantic segmentation applied to clothing, footwear, and accessories—supporting visual search, outfit recognition, and cataloging.
Attribute Tagging & Classification
Labeling product attributes such as color, sleeve type, fabric, pattern, and neckline—enabling intelligent filtering and recommendation engines.
Text Annotation for Product Descriptions
Tagging product names, categories, specifications, and sentiment in customer reviews to improve SEO, chatbot accuracy, and user search..
Keypoint Annotation for Virtual Try-On
Detecting body landmarks and item fit points to power AR/VR-based virtual fitting rooms and fashion apps.