You can’t fool all the people all the time, but a new dataset of untouched nature photos seems to confuse state-of-the-art computer vision models all but two-percent of the time. AI just isn’t very good at understanding what it sees, unlike humans who can use contextual clues. The new dataset is a small subset of ImageNet, an industry-standard database containing more than 14 million hand-labeled images in over 20,000 categories. The purpose of ImageNet is to teach AI what an object is. If you want to train a model to understand cats, for example, you’d feed it hundreds or thousands…

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