A Gentle Introduction to the ImageNet Challenge (ILSVRC)

Last Updated on July 5, 2019

The rise in popularity and use of deep learning neural network techniques can be traced back to the innovations in the application of convolutional neural networks to image classification tasks.

Some of the most important innovations have sprung from submissions by academics and industry leaders to the ImageNet Large Scale Visual Recognition Challenge, or ILSVRC. The ILSVRC is an annual computer vision competition developed upon a subset of a publicly available computer vision dataset called ImageNet. As such, the tasks and even the challenge itself is often referred to as the ImageNet Competition.

In this post, you will discover the ImageNet dataset, the ILSVRC, and the key milestones in image classification that have resulted from the competitions.

After reading this post, you will know:

• The ImageNet dataset is a very large collection of human annotated photographs designed by academics for developing computer vision algorithms.
• The ImageNet Large Scale Visual Recognition Challenge, or ILSVRC, is an annual competition that uses subsets from the ImageNet dataset and is designed to foster the development and benchmarking of state-of-the-art algorithms.
• The ILSVRC tasks have led to milestone model architectures and techniques in the intersection of computer
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