StyleCLIP

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StyleCLIP is a mockup full-stack application designed for fashion recommendation. Users upload a clothing image, which is then processed by YOLO to detect the clothing item. CLIP then encodes the detected item, and the system recommends similar clothing items based on this encoding. The application is built with React for the frontend, FastAPI for the backend, MongoDB for data storage, and Docker for containerization.

Características Principales

• YOLO object detection
• Dockerized deployment
• CLIP-based encoding for feature extraction
• Image-based clothing recommendation
• 0 GitHub stars
• Full-stack implementation (React, FastAPI, MongoDB)

Casos de Uso

• E-commerce product discovery
• Personalized fashion recommendations
• Visual search for clothing