基于轻量级MobileNet V3-YOLOv4的生长期菠萝成熟度分析
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李阳德, 马晓慧, 王骥
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Pineapple Maturity Analysis in Natural Environment Based on MobileNet V3-YOLOv4
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LI Yangde, MA Xiaohui, WANG Ji
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表3 单类目标检测试验各模型评价指标结果对比
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Table 3 Comparison of the results of each model evaluation index in single-class target detection test
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序号 | 网络 | 青熟期菠萝 | 黄熟期菠萝 |
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AP/% | F1 Score | Recall/% | Precision/% | AP/% | F1 Score | Recall/% | Precision/% |
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1 | Faster R-CNN | 72.36 | 0.76 | 78.09 | 73.33 | 94.41 | 0.94 | 94.95 | 93.62 | 2 | YOLOv3 | 85.19 | 0.78 | 67.45 | 93.65 | 89.31 | 0.84 | 75.87 | 93.22 | 3 | SSD300 | 68.00 | 0.81 | 80.37 | 80.70 | 94.20 | 0.96 | 95.83 | 95.64 | 4 | Retinanet | 84.65 | 0.8 | 71.96 | 89.24 | 89.10 | 0.84 | 75.14 | 96.35 | 5 | Centernet | 73.25 | 0.36 | 21.70 | 98.55 | 90.02 | 0.66 | 49.84 | 99.37 | 6 | YOLOv4 | 89.72 | 0.85 | 85.00 | 95.51 | 81.56 | 0.74 | 61.00 | 93.75 | 7 | MobileNet V1-YOLOv4 | 92.53 | 0.92 | 86.00 | 98.85 | 89.14 | 0.82 | 73.47 | 92.31 | 8 | MobileNet V2-YOLOv4 | 92.73 | 0.89 | 89.00 | 98.89 | 87.61 | 0.80 | 79.59 | 100.00 | 9 | MobileNet V3-YOLOv4 | 94.21 | 0.92 | 86.00 | 98.85 | 87.62 | 0.87 | 77.55 | 100.00 |
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