ImageNet is a landmark large-scale image dataset containing over 14 million labeled images across 1000+ object categories. It has been pivotal in advancing deep learning for computer vision, serving as a benchmark for training and evaluating models like AlexNet, ResNet, and ViT. ImageNet’s diversity and size have driven breakthroughs in image classification, object detection, and transfer learning.
