Investigation into the feature extraction module and lightweight network for rock image analysis

Key Points

• Enhanced feature extraction improves accuracy in rock image analysis, enabling better identification.
• The model achieved a 95% accuracy rate in classifying rock images across diverse categories.
• Assessment using a lightweight neural network demonstrates efficiency in processing rock images.
• Further validation may help confirm the model's performance in real-world applications.