3 ms·
99.9% is a very low bar for image recognition. if one out of every thousand times you saw a car you misclassified it as a chair, you would be dead.
by ouid 9y ago
99.9% is a very low bar for image recognition. if one out of every thousand times you saw a car you misclassified it as a chair, you would be dead.
- mturmon 9y agoIt sounds like you may not have experience in this domain? You're benchmarking an active, time-based task (a person "seeing a car" - implicitly allowing eye saccade, multiple images, context, depth) versus a static task ("classify this single image based on no context"). They are not comparable.
- ouid 9y agohave you actually tried the imagenet task yourself? The reason imagenet is popular is because it has allowed google to claim that they can beat human performance on image recognition by artifically lowering human performance on image recognition.