When did Fei-Fei Li start working on the ImageNet project?
Computer scientist Fei-Fei Li began working on a project to build a massive visual database in 2006. The team started labeling images in July 2008 and finished in April 2010.
Questions about ImageNet
Short answers, pulled from the story.
What was the error rate of AlexNet during the ImageNet challenge on the 30th of September 2012?
A convolutional neural network named AlexNet achieved a top-5 error rate of 15.3 percent in the ImageNet challenge on the 30th of September 2012. This result was more than 10.8 percentage points lower than the runner-up.
How many images are contained in the full original ImageNet dataset known as ImageNet-21K?
The full original dataset referred to as ImageNet-21K contains 14,197,122 images divided into 21,841 classes. The full set was released in Fall of 2011 as fall11_whole.tar.
Why did the organizers stop holding the ImageNet Large Scale Visual Recognition Challenge after 2017?
The organizers stated that the 2017 competition would be the last one since the benchmark had been solved. They also announced plans to organize a new competition on three-dimensional images but such a competition never materialized.
What changes were made to the ImageNet dataset regarding person categories during 2021?
In 2021 winter, 2702 categories in the person subtree were removed to prevent problematic behaviors in trained models. Only 130 synsets in the person subtree remained after these changes.