By 2028, AI will be able to classify images of unseen objects into groups, having trained on a similar distinct dataset?
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Full question, as the title has character limitations:
Can AI (by 2028 start) correctly group images of previously unseen objects into classes, after training on a similar labeled dataset containing completely
different classes.
The classes should be similar to the ImageNet classes.
This question is managed and resolved by Manifold.
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