Image classification model

Image classification is a task in computer vision that involves assigning a label to an image from a predefined set of categories. These models are typically built using machine learning techniques, particularly deep learning with convolutional neural networks (CNNs), which automatically learn spatial hierarchies of features from input images. Image classification models are widely used in applications such as medical imaging, autonomous vehicles, and facial recognition, benefiting industries that require automated image analysis and categorization.