油茶
人工智能
山茶花
园艺
模式识别(心理学)
生物
数学
植物
计算机科学
目标检测
作者
Jin, Shouxiang,Zhou, Lei,Zhou, Hongping
标识
DOI:10.17632/65mwb97zwz.1
摘要
The dataset consists of Camellia oleifera fruit images and labels used for YOLO detection model training. The dataset is divided into 3 sub-datasets, of which 2016 samples are ‘training’ samples, 672 samples are ‘validation’ samples, and 671 samples are ‘test’ samples. The labels are in the format required for YOLO11 detection.
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