Title G12S2 Session 08.pdf ✅

G12S2 Session 08 (Explore) [Object Recognition] (10 Minutes) Q) Did you hear about Automated Checkout Systems )اآللي الدفع أنظمة )in supermarkets and what is the technology used for that?? Automated Checkout Systems: These systems use computer vision and advanced image recognition algorithms to detect items in shopping carts or baskets. By eliminating manual scanning, they provide a faster, seamless checkout experience. Q) Object Recognition: is the process of identifying objects in images or videos, a key application of machine learning and deep learning. The goal is to enable machines to recognize image content as humans do. Object Recognition: Definition: - often referred to as image classification - involves identifying and classifying an object within an image. - The focus is on determining what objects are present rather than precisely locating them.


Part 3: Visualize the Dataset Part 4: Image Processing  The CIFAR-10 dataset has 10 categorical labels representing different object classes: ["Airplane", "Automobile", "Bird", "Cat", "Deer", "Dog", "Frog", "Horse", "Ship", "Truck"] - In the CIFAR-10 dataset, one-hot encoding is employed to convert the class labels (ranging from 0 to 9, representing categories like airplanes, cars, etc.) into binary vectors.