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Show HN: Cornea AI – Using Deep Learning to Predict Photo Popularity

cornea.ai

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Re: Show HN: Cornea AI – Using Deep Learning to Predict Photo Popularity

#3

Score seems to work on some images but did not work on my dog's photo - how do you guys evaluate the accuracy?

We have trained our model on public photos which were popular/trending at some point of time. We fed these images to a deep CNN (Convolutional Neural Network) which started to recognise features that made photos popular. What we realise in the process that these features do change with time so we have added a temporal component to our training set to ensure our model is relevant. It is currently optimised more for human photos and travel images so maybe in our next iteration, we can predict pets photos as well.

Re: Show HN: Cornea AI – Using Deep Learning to Predict Photo Popularity

#7

Very interesting. Can you please talk about the algorithm you use to predict the popularity score .

A neural network has been trained to differentiate between popular and non-popular images and give like scores. This network was optimised to understand the features that made a photo popular on social media. Part of the work was inspired by Karpathy's blog on selfie (http://karpathy.github.io/2015/10/25/selfie/). However, our algorithm works on different type of images and not just selfies.

Re: Show HN: Cornea AI – Using Deep Learning to Predict Photo Popularity

#8
Could you plug this into one of those image generation algorithms and generate a potentially popular image from scratch?

Side note: I can imagine high speed ad networks in the future using this to deliver custom images in real time to users based on their profiles. Tweaked of course based on the interests of their extended network and the likelihood of going viral within that network.

Re: Show HN: Cornea AI – Using Deep Learning to Predict Photo Popularity

#10

Could you plug this into one of those image generation algorithms and generate a potentially popular image from scratch? Side note: I can imagine high speed ad networks in the future using this to deliver custom images in real time to users based on their profiles. Tweaked of course based on the interests of their extended network and the likelihood of going viral within that network.

Hi, That can be done, but image generation algorithms require a bit more time to be good enough for such a thing. Two major bottlenecks (I am assuming you are talking about GANs) are: 1. The algorithms are still not too good for hi res images. 2. The algorithms work very well on images where fine grained features are not that important. (For example images of nature), but they introduce unwanted features otherwise (Eyes looking other ways etc.). We might be all ready by next ICLR/NIPS though, cannot say.
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