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The results that should be used to compare their results to others involves training on just under 1.3 million images across the 1,000 classes. Their best resu
by jphoward 6y ago
The results that should be used to compare their results to others involves training on just under 1.3 million images across the 1,000 classes.
Their best results involve 'pretraining' on a dataset of 300 million examples, before 'tuning' it on the actual ImageNet training dataset as above.