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The scenarios of data labeling industry has grown a lot in the past few years. With the continuous improvement of artificial intelligence and machine learning technology, data annotation has become a key factor for the accurate operation of these technologies. In order to obtain high-quality training data, more and more enterprises and research institutions have begun to use data annotation services. At the same time, with the continuous increase of the amount of data, the automatic labeling technology is also improving, but in most cases, manual intervention is still required to ensure the quality of the data. In general, the data annotation industry is experiencing rapid development and is expected to continue to maintain high growth in the next few years. What scenarios are data annotations applied to? Data annotation is critical to the following industries as they require large amounts of high-quality training data to improve the accuracy of artificial intelligence and ...