Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents

Image | General | Preparedness

Incidents1M is an extention of the Incidents Dataset for general disaster detection. It contains 1,787,154 images and is introduced for multiclass multilabel classification.

  • ML task type: Multiclass multilabel classification
  • Data Source: Google Images
  • Size: 1,787,154 Images
  • Timespan: N/A
  • Geographical Coverage: Global
  • Baseline Information
  • Evaluated on: ResNet50
  • Metrics used: mAP
  • Results as reported in original paper: 67.19

Ethan Weber, Dim P Papadopoulos, Agata Lapedriza, Ferda Ofli, Muhammad Imran, and Antonio Torralba. Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents. arXiv preprint arXiv:2201.04236, 2022.