
Multimodal Damage Identification for Humanitarian Computing
Donated on 6/1/2018
5879 captioned images (image and text) from social media related to damage during natural disasters/wars, and belong to 6 classes: Fires, Floods, Natural landscape, Infrastructural, Human, Non-damage.
Dataset Characteristics
Multivariate, Text
Subject Area
Social
Associated Tasks
Classification
Attribute Type
Integer
# Instances
5879
# Attributes
-
Information
Additional Information
Samples were retrieved from social media posts including Instagram and Twitter.
Attribute Information
Additional Information
640x640 RGB images and raw text
Mouzannar,Hussein, Rizk,Yara, and Awad,Mariette. (2018). Multimodal Damage Identification for Humanitarian Computing. UCI Machine Learning Repository. https://doi.org/10.24432/C52P6P.
@misc{misc_multimodal_damage_identification_for_humanitarian_computing_456, author = {Mouzannar,Hussein, Rizk,Yara, and Awad,Mariette}, title = {{Multimodal Damage Identification for Humanitarian Computing}}, year = {2018}, howpublished = {UCI Machine Learning Repository}, note = {{DOI}: https://doi.org/10.24432/C52P6P} }
Creators
Hussein Mouzannar
Yara Rizk
Mariette Awad
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.