Turns out humans are leading AI systems astray because we can’t agree on labeling which is why we must adopt and adhere to open standards
Top datasets used to train AI models and benchmark how the technology has progressed over time are riddled with labeling errors, a study shows.Data is a vital resource in teaching machines how to complete specific tasks, whether that's identifying different species of plants or automatically generating captions. Most neural networks are spoon-fed lots and lots...
