From the course: Neural Networks and Convolutional Neural Networks Essential Training
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ImageNet challenge
From the course: Neural Networks and Convolutional Neural Networks Essential Training
ImageNet challenge
- [Instructor] So what is ImageNet? ImageNet is an easily accessible large scale image database and was started in 2009 by Fei-Fei Li. Interest in the ImageNet database gradually picked up momentum. Li then contacted PASCAL VOC, a well known image recognition competition in Europe. The only problem was this challenge only had 20 categories, compared to the 1,000 of ImageNet. The two worked together and the ImageNet competition continued for 2011 and 2012. At the ImageNet challenge the entrants had to correctly classify thousands of photos and place them into 1,000 object categories. The categories range from Great White Shark to Bassoon and Bridegroom to Glaciers. The winner has as few errors as possible. The ImageNet image database is 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 a hundred thousand synsets in WordNet. But the vast…
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