ILSVRC - rugbyprof/5443-Data-Mining GitHub Wiki

The ImageNet Large Scale Visual Recognition Challenge evaluates algorithms for object detection and image classification at large scale. It is the most popular academic challenge in computer vision. Over the past years, Deep Learning techniques have led to a significant reduction in error rates, from 30% to less than 5%, beating human performance on several classification tasks.

^{References:
Source: http://www.image-net.org/challenges/LSVRC/}

ILSVRC is an annual competition held in 2012. Alexnet uses a subset of ImageNet with roughly 1000 images in each of 1000 categories. They used 1.2 million training images, 50,000 validation images, and 150,000 testing images.