Camellia oleifera fruit detection dataset

Published: 28 May 2024| Version 1 | DOI: 10.17632/4s9xjc6zjf.1
Contributors:
Lei Zhou, Shouxiang Jin, Jinpeng Wang, Huichun Zhang, Minghong Shi, Hongping 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.

Files

Institutions

  • Nanjing Forestry University

Categories

Forestry, Object Detection, Fruit

Licence