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can anyone please tell me why there are more than 1000 classes listed in .csv file. what I know that imagenet has 1000 classes only on which torchvision.models resnet101, densenet161 and other models are trained on.
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Imagenet actually has 21841 classes ("nouns" from wordnet). However the ILSVRC competitions use a trimmed 1000 class set. Each year it can be different. So the 2017 competition used: http://image-net.org/challenges/LSVRC/2017/#loc
Note that imagenet classes are imbalanced. And some of the classes overlap. So the trimmed classes were picked not to overlap and probably have the same number of images per class.
can anyone please tell me why there are more than 1000 classes listed in .csv file. what I know that imagenet has 1000 classes only on which torchvision.models resnet101, densenet161 and other models are trained on.
The text was updated successfully, but these errors were encountered: