Published July 10, 2024
| Version v1
Poster
Open
Development and Application of CWGID: the California Wildfire GeoImaging Dataset for Deep Learning Driven Forest Wildfire Detection
Authors/Creators
- 1. PhD Student, Graduate Research Assistant, Intelligent Systems and Robotics, University of West Florida
- 2. Director of the Intelligent Systems and Robotics Doctoral Program, Department of Intelligent Systems and Robotics, University of West Florida
- 3. Associate Professor, Department of Earth and Environmental Sciences, University of West Florida
Contributors
- 1. GDI
- 2. SLB
- 3. University of North Carolina
- 4. Curvenote
- 5. Deloitte
- 6. Aptos
- 7. Arm
Description
This poster presents the development and application of the CWGID (California Wildfire GeoImaging Dataset), a comprehensive dataset for deep learning-driven forest wildfire detection. The study explores the dataset creation process, its application in wildfire detection using deep learning techniques, and the results obtained.
Files
MartinV_Poster.pdf
Files
(999.8 kB)
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