The ImageNet Large Scale Visual Recognition Challenge (ILSVRC) is an annual competition that evaluates algorithms for image classification and object detection. It uses a large dataset of over 14 million labeled images, organized into thousands of categories. Participants develop models to accurately identify and classify objects within these images. ILSVRC has significantly advanced the field of computer vision and deep learning. Notably, the introduction of convolutional neural networks (CNNs) in 2012 led to a dramatic improvement in classification accuracy, marking a turning point in how machines understand visual data.