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I have 200 classes to recognize.

I prepare 600 images for each class and I have 120,000 number of images prepared to train.

I am thinking to use VGGNet-16. Would it be possible to recognize such number of classes using VGGNet-16?

batuman
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1 Answers1

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VGG was mainly developed and benchmarked on the ILSVRC classification task, where the task is to classify images into one of 1000 categories.

So yes, 200 should be perfectly fine.

shimao
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