ImageNet dataset

According to http://image-net.org:

ImageNet is an image dataset organized according to the WordNet hierarchy. Each meaningful concept in WordNet, possibly described by multiple words or word phrases, is called a synonym set or synset.

The ImageNet has about 100 K synsets and on average, about 1,000 human-annotated images for each synset. ImageNet only stores the references to the images while the images are stored in their original locations on the internet. In deep learning papers, the ImageNet-1K refers to the dataset released as part of ImageNet's Large Scale Visual Recognition Challenge (ILSVRC) to classify the dataset into 1,000 categories:

The 1,000 categories for the challenges can be found at the following URLs:
http://image-net.org/challenges/LSVRC/2017/browse-synsets
http://image-net.org/challenges/LSVRC/2016/browse-synsets
http://image-net.org...