FLAME (Fire Luminosity Airborne-based Machine learning Evaluation)
Introduced by Shamsoshoara et al. in Aerial Imagery Pile burn detection using Deep Learning: the FLAME dataset
FLAME is a fire image dataset collected by drones during a prescribed burning piled detritus in an Arizona pine forest. The dataset includes video recordings and thermal heatmaps captured by infrared cameras. The captured videos and images are annotated and labeled frame-wise to help researchers easily apply their fire detection and modeling algorithms.
Source: Aerial Imagery Pile burn detection using Deep Learning: the FLAME datasetBenchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
FLAME
|
Fast DeepLabV3+
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
