10 Hard Lessons Learned For Creating a Dataset in Our Crops Identification Challenge to Fight Hunger

This article is the result of working in Omdena's AI challenge to estimate crops yield with the UN World Food Program in Nepal. The problem was tough, challenges were huge, and resources scarce. Still, a community of 36 collaborators managed to build a solution with 89% accuracy. This article details the problems we had to solve and lessons learned in creating an appropriate dataset. It's estimated, that every day 821 million people -- one in nine -- still go to bed on an empty stomach each night.