Apple Detection with Occlusions Using Modified YOLOv5-v1
IEEE IDAACS 2023, pp. 107-112
Editorial summary
The modified detector changes the YOLOv5 backbone and adds an attention module to recognise partially obscured apples in UAV images. Adjusted detection settings address small background objects. Testing measures precision, recall and detection quality on the study’s fruit-image dataset.
Bibliographic reference
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Oleksandr Melnychenko, Oleg Savenko, Pavlo Radiuk. "Apple Detection with Occlusions Using Modified YOLOv5-v1". IEEE IDAACS 2023, pp. 107-112, 2023. https://doi.org/10.1109/IDAACS58523.2023.10348779
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