Image Source – Karpathy
ImageNet dataset is the most significant visual database.
ImageNet has more than 14 million hand-annotated images, and it has more than 20,000 categories.
Prof. Li Fei-Fei from Stanford University is the creator of ImageNet in 2006.
What is ImageNet?
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”. There are more than 100,000 synsets in WordNet; the majority of them are nouns (80,000+). In ImageNet, we aim to provide on average 1000 images to illustrate each synset. Images of each concept are quality-controlled and human-annotated. In its completion, we hope ImageNet will offer tens of millions of cleanly labeled and sorted images for most of the concepts in the WordNet hierarchy.
Content Source: ImageNet
Every year, there was an annual competition on ImageNet called ImageNet Large Scale Visual Recognition Challenge (ILSVRC) until 2017.
We will work on a few AI algorithm projects on ImageNet in future blogs and show how it works.
Leave A Comment