More than 14 million[1][2] images have been hand-annotated by the project to indicate what objects are pictured and in at least one million of the images, bounding boxes are also provided.[3] ImageNet contains more than 20,000 categories[2] with a typical category, such as "balloon" or "strawberry", consisting of several hundred images.
2. History
AI researcher Fei-Fei Li presented their database for the first time as a poster at the 2009 CVPR.
3. ImageNet Large Scale Visual Recognition Challenge (ILSVRC)
GoogleLeNet-v4 is the winner until now: https://www.google.com/search?q=imagenet+accuracy+over+time&tbm=isch&source=univ&sa=X&ved=2ahUKEwiI_7yQ3tLmAhVFSX0KHdjICC8QsAR6BAgFEAE&biw=1920&bih=897#
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