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omputer vision models on more complex tasks, such as detecting objects in videos or identifying handwriting? The field of computer vision has made significant advancements in the past decade, with image classification now achieving over 99 percent accuracy. Darknet, a neural network framework developed at the University of Washington, is leading the way in training and testing computer vision models. This framework allows for detailed predictions, even down to specific breeds of animals in images. While progress has been made in image classification, the next challenge is to apply these models to more complex tasks.
