Don’t judge a book by it’s cover!
(Let my CNN do it for you 
)
I just finished my second project: training a resnet34 on 15 different classes of book covers (
) and I’m super excited to share my results! A few thousand images, a bit of data grooming and architecture tweaking, an hour of training, and it’s pretty stable around 45% accuracy! (Random guessing would be 7%.) I believe a good bit of this is due to me choosing somewhat ambiguous/overlapping classes.
And now for the fascinating results:
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Easy: Romance Novels and Biographies have an unambiguous stand-apart style
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Runners Up: Fantasy, Cookbooks, and Children’s Books are pretty straightforward, too
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Most Confused: Mystery x Thriller x Crime, and SciFi x Fantasy (hard to draw the line sometimes)
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Hardest: SciFi turns out to be a mechanic more than content, and can scan as many subjects
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WTF: Western is a genre dedicated to tales of cowboys, but it can also crossover fabulously…
If anyone has suggestions for breaking through my personal accuracy asymptote, I’d love to chat!