Question from my Recent Interview

Consider a dataset of Cats and dogs, which has more than 100k data points, it has some significant wrongly labelled data, how would you tackle this while training or before training, as samples are more and you can’t go through each and every image to check label…

This question made me stumble and couldn’t focus on following questions and eventually a bad experience

I wanted to know your approach!

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