> I never understood Kaggle. Most competitions don't require code to be submitted Your point of view is outdated ;-) In recent ML competitions, participants d

> I never understood Kaggle. Most competitions don't require code to be submitted Your point of view is outdated ;-) In recent ML competitions, participants do submit code that is run on a held-out dataset - as was the case in the PetFinder.my challenge in question here. Most competition platforms are migrating to this format, as otherwise you can just label by hand as you said. Note that this competition went even further: not only was the evaluation code run on Kaggle, the training code was also run there. This means that you couldn't even train a gigantic model then submit it: your model had to be trainable within well defined time and resource constraints, which is a great way to level the playing field. Of course, there's still some unfairness as people with more resources can try out more solutions before submitting a model to be trained on the platform. No platform has a solution for this yet!