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A company is building an image recognition model to automate its quality assurance process. High accuracy in image annotation is critical to ensure the model can correctly identify defective products. To minimize the risk of incorrect annotations, the company needs a reliable labeling solution. What is the best approach to achieve high accuracy and reduce the risk of errors in image annotations?