Camellia oleifera fruit detection dataset
Published: 28 May 2024| Version 1 | DOI: 10.17632/4s9xjc6zjf.1
Contributors:
Lei Zhou, , , , , Description
This dataset includes Camellia oleifera fruit images and the labels for YOLO detection model training. The dataset is divided into 3 sub-datasets, including 1012 samples in 'train', 337 in 'validation' and 328 in 'test'. The format of the labels are that required by YOLOv8 detection.
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Institutions
Nanjing Forestry University
Categories
Forestry, Object Detection, Fruit