Comment Re:Automatically means no control (Score 1) 66
Not necessarily.
Machine learning algorithms like K-means clustering are designed for exactly this sort of problem. In principle, it can figure out that there are two different shirley temple images: Shirley Temple the human; and shirley temple the bright-red drink.
Of course, depending on *how* you wash the image data into something that can be analyzed, it could make unexpected categories like "Shirley Temple black & white" vs "Shirley Temple mostly red" vs "everything else".