The YOLO MCP Service is a powerful computer vision service that integrates with Claude AI through the Model Context Protocol (MCP), providing functions such as object detection, segmentation, classification, and real-time camera analysis.

This is a fashion recommendation system based on CLIP. It detects the clothing pictures uploaded by users through YOLO and recommends similar products after encoding with CLIP. The project has completed the construction of the FastAPI server, database connection, and basic front - end UI. The next step is to optimize the label accuracy of CLIP and system integration.

A small tool that improves the accuracy of WeChat QR code recognition through two-stage detection. First, use YOLOv8 to locate the position of the QR code, and then use the WeChat open-source model to extract the content.