Laser & Optoelectronics Progress, Volume. 58, Issue 8, 0810019(2021)

Mask-Wearing Detection Method Based on YOLO-Mask

Chengshuo Cao and Jie Yuan*
Author Affiliations
  • School of Electrical Engineering, Xinjiang University, Urumchi, Xinjiang 830047, China
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    Figures & Tables(9)
    YOLOv3 network structure diagram
    Residual unit and SE-residual unit
    Improved feature fusion network structure. (a) FPN; (b) bottom-up path aggregation
    YOLO-Mask algorithm network structure
    Example of dataset images
    Comparison of detection results of different algorithms. (a)(b)(c) SSD detection results; (d)(e)(f) Faster R-CNN detection results; (g)(h)(i) YOLOv3 detection results; (j)(k)(l) YOLO-Mask detection results
    Single target P-R curves of YOLO-Mask algorithm. (a) Right_mask; (b) wrong_mask; (c) no_mask
    • Table 1. Selection of key parameters

      View table

      Table 1. Selection of key parameters

      Batch sizeFactorPatienceLearn rate
      40.520.001
    • Table 2. Comparison of performance indicators of different detection algorithms unit: %

      View table

      Table 2. Comparison of performance indicators of different detection algorithms unit: %

      MethodAPmAP
      Right_maskWrong_maskNo_mask
      SSD67.3373.3465.1768.61
      Faster R-CNN75.7871.2772.9473.33
      YOLOv389.8179.9787.3485.71
      YOLO-Mask94.3091.1394.5693.33
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    Chengshuo Cao, Jie Yuan. Mask-Wearing Detection Method Based on YOLO-Mask[J]. Laser & Optoelectronics Progress, 2021, 58(8): 0810019

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    Paper Information

    Category: Image Processing

    Received: Aug. 10, 2020

    Accepted: Sep. 20, 2020

    Published Online: Apr. 12, 2021

    The Author Email: Yuan Jie (yuanjie222@126.com)

    DOI:10.3788/LOP202158.0810019

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