Image classification is a process where a computer program analyzes an image and identifies what is present in it. For example, it can recognize objects like cats, dogs, or cars by examining the patterns and features in the image. This technology is widely used in applications such as photo organization, self-driving cars, and medical imaging. To achieve image classification, machine learning algorithms are trained on large datasets containing labeled images. The program learns to distinguish between different categories by finding similarities and differences in the images. Once trained, it can quickly classify new images, making it a powerful tool in various fields, including artificial intelligence and computer vision.