Image Classification is a process in computer vision where algorithms are used to identify and categorize objects within images. This involves training a model on a dataset containing labeled images, allowing it to learn the features that distinguish different categories, such as animals, vehicles, or plants. Once trained, the model can analyze new images and predict their categories based on the learned features. Deep Learning techniques, particularly Convolutional Neural Networks (CNNs), are commonly used for this task due to their ability to automatically extract relevant features from images, improving accuracy and efficiency in classification.