Automatic detection of multilayer hexagonal boron nitride in optical images using deep learning-based computer vision

HIGHLIGHTS

• who: Fereshteh Ramezani from the DepartmentState University have published the research: Automatic detection of multilayer hexagonal boron nitride in optical images using deep learning-based computer vision, in the Journal: Scientific Reports Scientific Reports
• what: The authors propose a new detection pipeline which not only makes improvements in detection accuracy, but also is able to detect the rare class of thin flakes ( and amp;lt; 50 atomic layers) with a recall of 0.43 and precision of 0.43.
• how: To improve the performance of the model the authors employed transfer learning. For . . .
  

   

  

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