Laboratory flame smoke detection based on an improved yolox algorithm

HIGHLIGHTS

  • who: Maolin Luo and colleagues from the Laboratory Flame Smoke Detection Based on an School of Electrical Engineering, Guizhou University, Guiyang, China have published the research work: Laboratory Flame Smoke Detection Based on an Improved YOLOX Algorithm, in the Journal: (JOURNAL)
  • what: All trials were trained on the dataset created in this paper using identical parameters and environments. mAP is the data obtained from the test set. The CBAM attention mechanism is also introduced to enable the model to focus on important features and suppress unnecessary features in the complex background of the laboratory, which . . .

     

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