An image dataset is a collection of images that are organized for a specific purpose, such as training machine learning models. These datasets can include various types of images, such as photographs, illustrations, or medical scans, and are often labeled to provide context or information about the content. Researchers and developers use image datasets to teach algorithms how to recognize patterns, objects, or features within images. Popular examples of image datasets include ImageNet, CIFAR-10, and MNIST, which are widely used in the fields of computer vision and artificial intelligence.