Wheat Head Detection Ground-UAV Dataset

This dataset consists of RGB images captured during late harvest stage of wheat plots at the University of Queensland's Gatton campus in November 2021. The dataset is divided into three subsets: 2 sets of images acquired using a UAV (Unmanned Aerial Vehicle) and a set of images captured with a ground camera. Each subset includes bounding box annotations for training and evaluating object detection models.

The ground images in this dataset were captured using the OpenCV OAK-1 camera, positioned at a height of approximately 1.5 meters above the canopy. These images have a raw resolution of 2160x2160 pixels and a Ground Sampling Distance (GSD) of approximately 0.030 cm per pixel. The UAV images were acquired using the DJI Phantom 4 Pro drone, flying at an altitude of 10 meters. These images have a raw resolution of 5472x3648 pixels and a GSD of 0.27 cm per pixel. The inclusion of both ground and UAV images with different resolutions and GSDs provides a diverse range of data for training and evaluating object detection models for wheat head detection.