"Generally speaking, we don’t have enough human data in existing computer science literature, so we don’t know how people will behave when they are exposed to these images. This limitation hinders the development of models that accurately replicate human decision-making,” Rafiei said. “This work provides one of the biggest datasets of humans responding to MNIST.”
https://scitechdaily.com/ai-learns-to-think-like-humans-a-game-changer-in-machine-learning/