Cnn-based object detection and growth estimation of plum fruit (prunus mume) using rgb and depth imaging techniques

HIGHLIGHTS

• who: EungChan Kim from the DepartmentNational University Seoul, Republic of Korea have published the paper: CNN-based object detection and growth estimation of plum fruit (Prunus mume) using RGB and depth imaging techniques, in the Journal: Scientific Reports Scientific Reports
• what: Lastly, in the case of the SSD Mobilenet v.2 model, the inference time was fastest among four models showing 2.96 ms per image, while its AP value exhibited the lowest detection performance, specifically, 59.81 when the IOU threshold was 0.5 and 30.01 when the IOU threshold was 0.75 . . .
  

   

  

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