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Ten years ago, computer vision researchers thought that getting a computer to tell the difference between a cat and a dog would be almost impossible, even with the docHub advance in the state of artificial intelligence. Now we can do it at a level greater than 99 percent accuracy. This is called image classification -- give it an image, put a label to that image -- and computers know thousands of other categories as well. Im a graduate student at the University of Washington, and I work on a project called Darknet, which is a neural network framework for training and testing computer vision models. So lets just see what Darknet thinks of this image that we have. When we run our classifier on this image, we see we dont just get a prediction of dog or cat, we actually get specific breed predictions. Thats the level of granularity we have now. And its correct. My dog is in fact a malamute. So weve made amazing strides in image classification, but what happens when we run our c
