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  1. 261

    Quantitative results on DRPD dataset. by Dunlu Lu (19964225)

    Published 2024
    “…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”
  2. 262

    Architecture of MAR-YOLOv9. by Dunlu Lu (19964225)

    Published 2024
    “…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”
  3. 263

    Quantitative results on MTDC-UAV dataset. by Dunlu Lu (19964225)

    Published 2024
    “…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”
  4. 264

    Counting results on WEDU dataset. by Dunlu Lu (19964225)

    Published 2024
    “…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”
  5. 265

    Example images from four plant datasets. by Dunlu Lu (19964225)

    Published 2024
    “…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”
  6. 266

    Counting results on RFRB dataset. by Dunlu Lu (19964225)

    Published 2024
    “…In comparative experiments on four plant datasets, MAR-YOLOv9 improved the mAP@0.5 accuracy by 39.18% compared to seven mainstream object detection algorithms, and by 1.28% compared to the YOLOv9 model. …”
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