Image Classification and Object Detection for Beginners

Ever wondered how machines can 'see' and understand the content of an image? This course demystifies the core concepts of image classification and object detection, enabling you to understand how AI systems interpret visual data. Upon completion, you will be able to clearly distinguish between these two critical computer vision tasks, understand their underlying mechanisms, and be prepared to explore more advanced topics in the field. What you'll learn: * Understand the fundamental differences and applications of image classification and object detection. * Learn to implement bounding box localization for precise object identification. * Explore common model architectures and data preparation techniques for computer vision tasks. * Apply standard evaluation metrics to assess the performance of classification and detection models. * Practice interpreting model predictions for both tasks. This course begins with essential terminology and concepts, then progresses to explaining how these two distinct yet related fields operate, concluding with practical application principles. This course is designed for absolute beginners with no prior experience in computer vision or machine learning. Embark on your journey into the exciting world of visual AI.