Retail & Fashion

Build retail AI that knows every product.

Feed object-recognition and style-analysis models with specialized datasets that create the perfect shopping experience.

Applications

virtual-fitting-rooms.mp4 Live preview

Clothing and accessory segmentation trains AR models to overlay digital garments onto shoppers for a personalized, accurate fit.

Annotate product photos, in-store video, and 3D scans together for shelf, catalog, and try-on data.

Pre-label products and attributes, then track shoppers and items across video frames.

Validation and review catch misattributed products and missed items before data ships.

Share large catalog and store-footage jobs across annotators and reviewers, with role-based access.

Define custom attributes for size, color, and style, and export to your search or recommendation stack.

Keep pricing, catalog, and customer data confidential, with on-premise deployment available.

Rectangular boxes that identify and categorize clothing, accessories, and inventory for automated accounting and product search.

Points on the face or body that position jewelry and accessories precisely in AR.

Connected keypoints that capture shopper poses for behavior analysis and for fitting digital clothing onto a moving body.

Pixel-wise separation of each garment so models can tell apart layered clothing on a person.

Flexible shapes that trace complex product contours for clean background removal and visual search.

Pixel-level classification of retail space: aisles, shelves, mannequins, and checkout areas.

Polygonal meshes that build 3D customer avatars and clothing twins for realistic fabric simulation.

3D boxes that measure packaged-goods dimensions and calculate shelf occupancy.

A mix of annotation methods built around your specific retail or fashion task.

Book a demo and we'll scope your retail dataset with you.

Custom solution? hello@keylabs.ai