Search is not available for this dataset
image
imagewidth (px)
320
320
label
class label
4 classes
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high
0high

FireRisk

FireRisk

The FireRisk dataset is a dataset for remote sensing fire risk classification.

Description

  • Total Number of Images: 91872
  • Bands: 3 (RGB)
  • Image Size: 320x320
  • 101,878 tree annotations
  • Image Resolution: 1m
  • Land Cover Classes: 7
  • Classes: high, low, moderate, non-burnable, very_high, very_low, water
  • Source: NAIP Aerial

Usage

To use this dataset, simply use datasets.load_dataset("blanchon/FireRisk").

from datasets import load_dataset
FireRisk = load_dataset("blanchon/FireRisk")

Citation

If you use the EuroSAT dataset in your research, please consider citing the following publication:

@article{shen2023firerisk,
  title   = {FireRisk: A Remote Sensing Dataset for Fire Risk Assessment with Benchmarks Using Supervised and Self-supervised Learning},
  author  = {Shuchang Shen and Sachith Seneviratne and Xinye Wanyan and Michael Kirley},
  year    = {2023},
  journal = {arXiv preprint arXiv: 2303.07035}
}
Downloads last month
645

Collection including blanchon/FireRisk