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Bittner, D., Andrada, M.E., Portugal, D. and Ferreira, J.F. 
ORCID: 0000-0002-2510-2412,
2021.
SEMFIRE forest dataset for semantic segmentation and data augmentation.
[Dataset]
Abstract
These datasets are used for semantic segmentation and data augmentation and contain various forestry scenes. They were collected as part of the research work conducted by the Institute of Systems and Robotics, University of Coimbra team within the scope of the Safety, Exploration and Maintenance of Forests with Ecological Robotics (SEMFIRE, ref. CENTRO-01-0247-FEDER-032691) research project coordinated by Ingeniarius Ltd.
The semantic segmentation algorithms attempt to identify various semantic classes (e.g. background, live flammable materials, trunks, canopies etc.) in the images of the datasets.
The datasets include diverse image types, e.g. original camera images and their labeled images. In total the SEMFIRE datasets include about 1700 image pairs. Each dataset includes corresponding .bag files.
| Item Type: | Research datasets and databases | ||||||
|---|---|---|---|---|---|---|---|
| Creators: | Bittner, D., Andrada, M.E., Portugal, D. and Ferreira, J.F. | ||||||
| Publisher: | Zenodo | ||||||
| Date: | 3 December 2021 | ||||||
| Identifiers: |
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| Rights: | Creative Commons Attribution 4.0 International Public License | ||||||
| Divisions: | Schools > School of Science and Technology | ||||||
| Record created by: | Jonathan Gallacher | ||||||
| Date Added: | 07 Jun 2022 08:23 | ||||||
| Last Modified: | 07 Jun 2022 09:05 | ||||||
| URI: | https://irep.ntu.ac.uk/id/eprint/46408 |
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