README.md

metadata

dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': flooded or damaged buildings
            '1': undamaged buildings
  splits:
    - name: train
      num_bytes: 25588780
      num_examples: 10000
  download_size: 26998688
  dataset_size: 25588780
license: cc-by-4.0

Dataset Card for "Satellite-Images-of-Hurricane-Damage"

Dataset Description

• Paper Deep learning based damage detection on post-hurricane satellite imagery
• Data IEEE-Dataport
• Split Train_another
• GitHub DamageDetection

Split Information

This HuggingFace dataset repository contains just the Train_another split.

Licensing Information

CC BY 4.0

Citation Information

Deep learning based damage detection on post-hurricane satellite imagery

IEEE-Dataport

@misc{sdad-1e56-18,
  title        = {Detecting Damaged Buildings on Post-Hurricane Satellite Imagery Based on Customized Convolutional Neural Networks},
  author       = {Cao, Quoc Dung and Choe, Youngjun},
  year         = 2018,
  publisher    = {IEEE Dataport},
  doi          = {10.21227/sdad-1e56},
  url          = {https://dx.doi.org/10.21227/sdad-1e56}
}
@article{cao2018deep,
  title={Deep learning based damage detection on post-hurricane satellite imagery},
  author={Cao, Quoc Dung and Choe, Youngjun},
  journal={arXiv preprint arXiv:1807.01688},
  year={2018}
}