To develop an accurate computer vision AI application, you need massive amounts of high-quality data. With a traditional dataset, you might spend months collecting images, getting annotations, and cleaning data. When it’s done, you could find edge cases and need more data, starting the cycle all over again. For years, this cycle has held back AI, especially in computer vision.
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