StyleCLIP
Createdattarmau
Recommends similar clothing items based on uploaded images using CLIP encoding and YOLO object detection.
About
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.
Key Features
- YOLO object detection
- Dockerized deployment
- CLIP-based encoding for feature extraction
- Image-based clothing recommendation
- 0 GitHub stars
- Full-stack implementation (React, FastAPI, MongoDB)
Use Cases
- E-commerce product discovery
- Personalized fashion recommendations
- Visual search for clothing
