{
 "id": "QCRI/CrisisMMD",
 "owner": "QCRI",
 "name": "CrisisMMD",
 "downloads": 37886,
 "likes": 5,
 "last_modified": "2024-11-07T18:04:04.000Z",
 "stated_licence": "cc-by-nc-sa-4.0",
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 "licence_link": null,
 "file_licence": "cc-by-nc-sa-4.0",
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 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "@InProceedings{crisismmd2018icwsm,\r\n  author = {Alam, Firoj and Ofli, Ferda and Imran, Muhammad},\r\n  title = {{CrisisMMD}: Multimodal Twitter Datasets from Natural Disasters},\r\n  booktitle = {Proceedings of the 12th International AAAI Conference on Web and Social Media (ICWSM)},\r\n  year = {2018},\r\n  month = {June},\r\n  date = {23-28},\r\n  location = {USA}\r\n}\r\n@inproceedings{multimodalbaseline2020,\r\nAuthor = {Ferda Ofli and Firoj Alam and Muhammad Imran},\r\nBooktitle = {17th International Conference on Information Systems for Crisis Response and Management},\r\nKeywords = {Multimodal deep learning, Multimedia content, Natural disasters, Crisis Computing, Social media},\r\nMonth = {May},\r\nOrganization = {ISCRAM},\r\nPublisher = {ISCRAM},\r\nTitle = {Analysis of Social Media Data using Multimodal Deep Learning for Disaster Response},\r\nYear = {2020}\r\n}",
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 "reason": "The declared licence (cc-by-nc-sa-4.0) is classified as having use restrictions."
}