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Deep learning engineers are some of the most highly paid professionals in the world. This is because their time and skills are in high demand. Businesses and organizations know that deep learning is a powerful tool, and they are willing to pay top dollar for experts who can harness its power. But deep learning engineers need one thing to be effective – training data. By providing a one-stop-shop for training data, makes AI teams more effective. Data improves the accuracy of AI algorithms. Computer vision datasets should be trained on large datasets to learn from a variety of examples. This ultimately leads to more accurate algorithms, as they are better able to generalize from the training data. Training datasets provide a benchmark for different AI algorithms. When new computer vision algorithms are created, they can be compared against existing algorithms using datasets. AI scientists can see how well the new algorithm performs on a standard set of data.