ImageNet is a large visual database designed for use in visual object recognition software research. It contains millions of labeled images organized into thousands of categories, making it a valuable resource for training machine learning models. The project began in 2009 and has significantly contributed to advancements in artificial intelligence and deep learning. Researchers use ImageNet to benchmark algorithms, leading to improved performance in tasks like image classification and object detection.