Camellia oleifera fruit posture detection dataset
Published: 4 March 2025| Version 1 | DOI: 10.17632/65mwb97zwz.1
Contributors:
Shouxiang Jin, , Description
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.
Files
Institutions
Nanjing Forestry University
Categories
Forestry, Object Detection, Fruit, Posture