SEMFIRE forest dataset for semantic segmentation and data augmentation

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]

Full text not available from this repository.

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:
NumberType
10.5281/zenodo.5751905DOI
1551482Other
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: http://irep.ntu.ac.uk/id/eprint/46408

Actions (login required)

Edit View Edit View

Views

Views per month over past year

Downloads

Downloads per month over past year