ΑUTH-AGI OpenDR Humans in Fields Dataset
<p>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 <a href="https://agrointelli.com/">AGI</a> 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 <a href="https://github.com/tzutalin/labelImg">labelImg</a> tool, and the annotations are provided in PASCAL VOC .xml format.</p> <p> </p>
ShareScore
48/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 8
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 8
Topics
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Your academic CV and NIH biosketch
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