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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