The OpenDR Humans in Fields dataset is a 2D Object Detection dataset, specifically designed for person detection in agricultural fields. A Robotti robot was deployed by AGI to collect images with a front and back camera, in a realistic scenario to mimic the images that the robot might encounter in the agricultural use case. The cameras are equipped with wide-angle lenses, contributing to the domain shift problem when applying pretrained person detectors to the task. The collected images are saved in JPG format at a resolution of 2048x1536. The dataset is split in train and test sets, and each of these is split in two subsets: a) images depicting humans, and b) images with no humans. The dataset was annotated with bounding boxes by AUTH using the labelImg tool, and the annotations are provided in PASCAL VOC .xml format.

{"references": ["P. Nousi, E. Mpampis, N. Passalis, O. Green and A. Tefas, A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields, IEEE Symposium Series On Computational Intelligence (SSCI), 2022. arXiv:2209.13202."]}