Transform fragmented fashion images, text, and catalog data into accurate, application-ready datasets
— without BODYSHOP.
Subjective or inconsistent tagging of attributes like style, material, and fit.
Models struggle to capture sleeves, collars, and other garment components.
Lighting, angles, and resolution differ between studio and real-world images.
Material properties like sheen, weave, or patterns are often missed.
Visual, text, and structured data are difficult to align effectively.
Manual labeling is costly, time-consuming, and error-prone.
.avif)
Fine-Grained Semantic Pairing Engine
Enhanced Pose & Region Annotation
Fabric Simulation & Rendering Multimodal Knowledge
Multimodal Knowledge Graph Creation
Graph Intelligent Dataset Augmentation
