YOLO (You Only Look Once)

YOLO is designed for computer vision tasks, particularly object detection. It processes images quickly, identifying multiple objects in a single pass, making it ideal for real-time applications.

Key Features

• Real-time object detection
• Single neural network for processing
• High accuracy with low latency
• Supports multiple object classes
• Open-source and community-driven

Pros

• Fast processing times suitable for live applications
• Strong community support and resources
• Flexibility for various use cases
• High performance on standard datasets

Cons

• May struggle with small object detection
• Requires significant computational resources for training
• Limited customization options for specific tasks
• Learning curve for beginners in deep learning