CrisisMMD: Multimodal Twitter Datasets from Natural Disasters

Multimodal (Image and Text) | General | Response

CrisisMMD is a general-disaster dataset for informativeness classification, categorization of humanitarian tasks, and damage severity assessment. It contains 18,082 images and 16,058 tweets and is introduced for binary classification, multiclass classification and multiclass (ordinal) classification.

  • ML task type: Binary classification, multiclass classification, multiclass (ordinal) classification
  • Data Source: Social Media (Twitter)
  • Size: 18,082 Images and 16,058 Tweets
  • Timespan: 2017
  • Geographical Coverage: Global
  • Baseline Information
  • Evaluated on: unreported
  • Metrics used: unreported
  • Results as reported in original paper: unreported

Firoj Alam, Ferda Ofli, and Muhammad Imran. Crisismmd: Multimodal twitter datasets from natural disasters. In Twelfth international AAAI Conference on Web and Social Media, 2018.