In industrial microscopic detection, learning-based autofocus methods have empowered operators to acquire high-quality images quickly. Learning-based methods consist of two parts: network model and prior dataset. The network model, which approximates the relationship between input and output, exists fitting error. The prior dataset is made by sharpness metric and used for model training, while the limitations of the metric itself will affect the accuracy of the dataset.