Deep learning based lithology classification of drill core images

HIGHLIGHTS

• who: Dong Fu and collaborators from the College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing, China have published the Article: Deep learning based lithology classification of drill core images, in the Journal: PLOS ONE of June/20,/2022
• what: In this work, all data are sourced from the China Geological Sample Information (CGSI), where the data sources are reliable and can be obtained publicly. In this work, 10 rock categories that are more common in underground engineering hydraulic facilities were collected, namely diabase, diorite, gneiss, medium-coarse-grain biotite granite (hereinafter referred to . . .
  

   

  

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