Research has been conducted on the classification of rock images using improved EfficientNet. Other studies have also explored the application of various deep learning algorithms, including hybrid local-global feature attention networks and improved densenet algorithms, for image recognition and analysis in rock-related fields. The use of deep learning for rock image analysis appears to be a broader area of investigation, with applications in areas such as rock core integrity, tunnel excavation, and water seepage detection.