YOLO
Enables object detection, segmentation, classification, and real-time camera analysis within Claude AI using YOLO models.
About
YOLO is a computer vision service that integrates with Claude AI through the Model Context Protocol (MCP), allowing Claude to leverage state-of-the-art YOLO models for object detection, segmentation, classification, pose estimation, and real-time camera analysis. It supports model training, validation, and export, providing a comprehensive image analysis solution. The service handles both file paths and base64-encoded images for flexible integration, empowering Claude to perform advanced visual understanding tasks.
Key Features
- Object detection, segmentation, classification, and pose estimation
- Comprehensive image analysis combining multiple models
- Model training, validation, and export
- Real-time camera integration for live object detection
- Supports file paths and base64-encoded images
Use Cases
- Performing real-time object detection using a camera feed
- Training custom YOLO models for specific object detection tasks
- Analyzing images for object detection within Claude AI
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