Everyone pushes for massive datasets to train AI. I think that's often wrong. My image recognizer was a mess with thousands of photos. They were blurry or off-topic, causing errors. I sorted them, kept only the clear ones, about half. The model now spots objects correctly most times. It shows quality beats quantity every time.