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[Discussion] How do you prepare a new dataset for your ML/DL project?

I found many guidelines online on how to prepare, analyze and clean datasets in tabular form (e.g. from csv files). Typically, they correlate the features, look for inlier/ outliers in the dataset and remove duplicates as well as corrupt samples.

But how do you perform such steps in a raw dataset consisting just of images or text as typically its the case in deep learning?

Let’s assume I just gathered 100’000 unlabeled images. Are there any tools or guidelines on how to start from there?

Thanks a lot for your input!

submitted by /u/rogi_o
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.