Image classification involves algorithms assigning labels to images based on content. Techniques like CNNs excel in pattern recognition with datasets like ImageNet and MNIST. Models like ResNet, VGGNet, and Inception achieve high accuracy. Advances in deep learning with EfficientNet and ViTs improve performance for medical imaging, autonomous vehicles, and facial recognition