![]() The colors in these are very muted, and even though two have figures, they are faded and hard to make out. Again, I highlighted in orange some of the indie cover art. ![]() Black and White Activation Maps from Full Sampleįor some cover art, the activation maps show us how the model focuses on color and clarity. I also copied the track’s lyrics from the web.įigure 8. If you are interested in the specifics of how I used the API, you can check that out here. This data included the title of the track and the title and the cover art of the track’s album. I leveraged the Spotify API to collect metadata on 277 songs that fell into the three genres, indie, rock, and pop. In this post, I will show you how I built this model and what it teaches us about the role a record’s cover plays in categorizing and placing an artist’s work into a musical context. As a starting place, I was curious if machine learning could accurately predict an album’s genre from the cover art. Browsing through a collection of images takes a lot less time than listening to clips of songs. This post is meant to be an enjoyable and unique way to explore Visual AI.Īs someone who spends hours searching for new music, getting lost in rabbit holes of ‘related artists’ or ‘you may also like’ tabs, I wanted to see if cover art improves the efficiency of the search process.
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