I know many here know this already but I'll say it anyway since I ran into people with a misconception related to this: the particular misidentifications are sp

I know many here know this already but I'll say it anyway since I ran into people with a misconception related to this: the particular misidentifications are specific to the algorithm and training set used, it's not like all computers recognize those blocks as cheetah or what not. We use ML-based computer vision at my work, so I have a bit of experience here. I think the biggest practice take away from observation the ML can give some wonky results is that ML system can be a real PITA to debug.