Artificial intelligence-based microscopic rock and ore image recognition method

The invention provides a microscopic rock and ore image recognition method based on artificial intelligence, and relates to the field of rock and ore identification in mineral exploration, and the method comprises the steps: firstly, carrying out the data collection of an ore specimen, and shooting an image under a microscope; secondly, according to the characteristics of different minerals under a microscope, carrying out preliminary category division and classification through manual observation; then, enhancing and processing the acquired image data, and creating a training set and a test set; and finally, training and testing by using a U-net convolutional neural network, and calculating the mineral content and the recognition accuracy. The method can effectively improve the efficiency of rock and ore identification under the microscope, can effectively avoid human subjective interference and reduce the labor cost based on the artificial intelligence identification method, is suitable for automatic identi