ImageNet Database

ImageNet is a large, organized collection of millions of labeled images used for training and testing computer vision algorithms. It covers thousands of categories, such as animals, objects, and scenes, with each image accurately labeled to help machines learn to recognize different items. Created to advance artificial intelligence, ImageNet has been fundamental in developing more accurate and efficient image recognition systems, serving as a benchmark for progress in computer vision research.