Image Classification

Image classification is the technology by which AI automatically determines which category an input image belongs to. For example, it performs tasks such as distinguishing "is this a cat or a dog?" or "does this X-ray show a lesion or is it normal?" This is one of the fundamental tasks in computer vision (image recognition), and accuracy has improved dramatically through deep learning algorithms centered on convolutional neural networks (CNNs). Well-known image classification models include: • AlexNet • VGGNet • ResNet (Residual Network) • EfficientNet Key applications of image classification: • Identifying lesion locations in medical images • Automatic tagging in social media and photo apps • Product image categorization for e-commerce • Road sign recognition in autonomous driving • Filtering inappropriate content As a foundational technology for understanding and organizing visual information, image classification has seen broad adoption across industry, healthcare, media, and security.