Computer Vision Fundamentals

Are you looking to understand the core principles of computer vision and build real-world applications? This course provides a comprehensive text-based guide to developing and deploying computer vision services. You will gain the skills to transform raw data into functional computer vision models, integrate them into applications, and optimize their performance for production environments. What you'll learn: * Understand fundamental computer vision concepts and workflows. * Prepare datasets and train models using modern architectures like YOLO and SAM. * Implement object tracking, OCR, and document analysis capabilities. * Develop web applications with APIs to serve your computer vision models. * Optimize models for deployment using formats like ONNX and techniques like quantization. * Monitor deployed models for data drift and implement alerting systems. * Explore advanced topics including performance metrics, confidence calibration, and A/B testing. This course covers the entire pipeline from data sourcing and model training to deployment and monitoring, suitable for beginners with no prior experience. Start building your computer vision projects today.