Camellia oleifera fruit posture detection dataset

Published: 4 March 2025| Version 1 | DOI: 10.17632/65mwb97zwz.1
Contributors:
Shouxiang Jin, Lei Zhou, Hongping Zhou

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

Licence