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Day40 - Backbone中C3/C2f后添加一层CBAM在VisDrone上的表现

yolov5n/s/m和yolov8n/s仅在backbone的C3/C2f模块后添加一层CBAM,在VisDrone2019上训练200epochs

  • Yolov5n-cbam

    Parameters: 2.742M

    ClassPrecisionRecallmAP50mAP50-95
    all0.4220.3260.3210.183
    pedestrian0.410.3580.3430.147
    people0.5040.2340.2760.0985
    bicycle0.1950.09950.07050.0266
    car0.6380.7470.7540.515
    van0.4380.3710.370.253
    truck0.4180.2810.270.172
    tricycle0.3910.230.2080.111
    awning-tricycle0.2440.1410.1050.0669
    bus0.5070.4340.4520.294
    motor0.4740.3620.360.149
  • Yolov5s-cbam

    Parameters: 9.502M

    ClassPrecisionRecallmAP50mAP50-95
    all0.4920.3730.3780.224
    pedestrian0.530.3760.4080.182
    people0.5560.2530.3170.121
    bicycle0.2690.1760.1290.053
    car0.7210.7650.7910.561
    van0.5290.4250.4380.306
    truck0.4820.3320.3380.216
    tricycle0.410.2910.2680.147
    awning-tricycle0.3090.180.1520.0983
    bus0.5890.510.510.363
    motor0.520.4240.4280.188
  • Yolov5m-cbam

    Parameters: 25.896M

    ClassPrecisionRecallmAP50mAP50-95
    all0.5350.4010.4190.254
    pedestrian0.5720.3950.440.208
    people0.590.290.3460.137
    bicycle0.2850.1850.150.063
    car0.760.7750.8070.587
    van0.5550.4570.4810.34
    truck0.5680.3890.410.271
    tricycle0.4320.3160.3040.171
    awning-tricycle0.3220.1990.1790.11
    bus0.7260.5340.6030.442
    motor0.5440.4660.4680.214
  • Yolov8n-cbam

    Parameters: 3.245M

    ClassPrecisionRecallmAP50mAP50-95
    all0.450.3270.3280.19
    pedestrian0.4590.3290.340.147
    people0.5180.2240.270.0979
    bicycle0.210.1050.07530.0288
    car0.6740.7360.7540.52
    van0.4880.3820.3850.265
    truck0.4770.3010.2950.187
    tricycle0.3870.2380.20.108
    awning-tricycle0.2430.1450.130.0809
    bus0.5470.450.4730.314
    motor0.4970.3560.3630.153
  • Yolov8s-cbam

    Parameters: 11.516M

    ClassPrecisionRecallmAP50mAP50-95
    all0.5070.3730.3870.23
    pedestrian0.550.3740.4120.187
    people0.5730.270.3280.127
    bicycle0.2560.1430.1150.0485
    car0.740.7590.7910.566
    van0.5270.4330.4430.313
    truck0.4920.350.3610.236
    tricycle0.4140.30.280.152
    awning-tricycle0.3090.180.1550.0959
    bus0.6820.4940.5450.38
    motor0.5290.4310.4340.192
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