Improvements of detection accuracy and its confidence of defective areas by YOLOv2 using a data set augmentation method
Koki Arima, Fusaomi Nagata, Tatsuki Shimizu, Akimasa Otsuka, Hirohisa Kato, Keigo Watanabe, Maki K. Habib
Topics & Concepts
Computer scienceGround truthGeneralizationConvolutional neural networkSet (abstract data type)Artificial intelligenceProcess (computing)Image (mathematics)Pattern recognition (psychology)Data setLine (geometry)Training setClass (philosophy)Data miningMathematicsGeometryOperating systemProgramming languageMathematical analysisIndustrial Vision Systems and Defect DetectionAdvanced Neural Network ApplicationsImage and Object Detection Techniques