Your AI pet project is only as smart as its garbage training set

Train a neural network on flawed data and you'll have one that makes lots of mistakes. Most neural networks learn to distinguish between things by sampling different groups. This is supervised learning, and it only works if someone labels the data first so that the network knows what it's looking at. But how can you find the "right" data to train your AI, and confirm its quality? Well, what you feed your machine might surprise you.