Why I didn’t use deep learning for my image recognition problem


Go to NumFOCUS academy page.

This is a how-things-went-wrong story of using deep learning to match images of climbing holds in gyms. But there’s a happy ending: a more traditional computer vision solution outperforms neural nets.


Liucija Latanauskaite

I am data scientist coming from a statistical background, always on the lookout for problems to solve using data.

By day, I work at GoCardless, a recurring payments provider, where I create machine learning products to reduce payment failure rates and tackle fraud.

My second life is rock climbing and working on Climbicus - an app for logging climbing routes at an indoor gym, leveraging computer vision techniques.