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Multimodal dataset captured using a thermal camera mounted on a drone that flew over rural areas, and recorded human and vehicle activities.
The MONET data-set, Multimodal drone thermal dataset recorded in rural scenarios contains approximately 53K images featuring 162K manually annotated bounding boxes. Each image is timestamp-aligned with drone metadata that includes information about attitudes, speed, altitude, and GPS coordinates.
Monet Dataset is published with the paper
L. Riz, A. Caraffa, M. Bortolon, M.L. Mekhalfi, D. Boscani, A. Moura, J. Antunes, A. Dias, H. Silva, A. Leonidou, C. Constantinides, C. Keleshis, D. Abate, F. Poiesi. The MONET dataset: Multimodal drone thermal dataset recorded in rural scenarios. Computer Vision and Pattern Recognition - CVPR Workshops, June 2023 [arXiv version]
Download and additional information
https://github.com/fabiopoiesi/monet_dataset (training, validation, test sets)
Copyright: The MONET Dataset is published under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This means that you are required to attribute the work in the manner specified by the authors (e.g., citing the paper in the reference above). You are allowed to use this work for commercial purposes. Additionally, if you choose to alter, transform, or build upon this dataset, you may distribute the resulting work under the same CC BY 4.0 license.
Aknowledgements
This work was carried out within the scope of the SHIELD project that received funding from the European Union’s Joint Programming Initiative – Cultural Heritage, Conservation, Protection and Use joint call.
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