Id say an ML model can only hope to be as good as its training data.

If the person generating that data just looks through tons of pictures and marks them as apples or not then the model will probably be about as accurate. But if the person choses pictures they’re certain have apples in them or not from some other method (like taking pictures of apples and things that definitely arent apples) then the model may do much better than people can, since its training data is perfect.