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Disaster Response datasets

archive 2025-07-28

8 datasets carry the task tag "Disaster Response" (the task itself: Disaster Response), ordered by the archive's paper count. Page 1 of 1: 8 shown of 8. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

Disaster Response datasets 1–8 of 8

fMoW (Functional Map of the World)
Functional Map of the World (fMoW) is a dataset that aims to inspire the development of machine learning models capable of predicting the functional purpose of buildings and land use from temporal sequences of satellite images and a rich…
144 papers · 1 benchmark
xView is one of the largest publicly available datasets of overhead imagery.
93 papers · 1 benchmark
The xBD dataset contains over 45,000KM2 of polygon labeled pre and post disaster imagery.
51 papers · 2 benchmarks
RoadTracer is a dataset for extraction of road networks from aerial images.
39 papers · 0 benchmarks
CrisisMMD is a large multi-modal dataset collected from Twitter during different natural disasters.
25 papers · 0 benchmarks
MEDIC is a large social media image classification dataset for humanitarian response consisting of 71,198 images to address four different tasks in a multi-task learning setup.
5 papers · 0 benchmarks
MSAW (Multi-Sensor All Weather Mapping)
Multi-Sensor All Weather Mapping (MSAW) is a dataset and challenge, which features two collection modalities (both SAR and optical).
5 papers · 1 benchmark
C2A: Human Detection in Disaster Scenarios (Combination to Application)
C2A: Combination to Application Dataset Overview This repository contains the code and information for the paper "UAV-Enhanced Combination to Application: Comprehensive Analysis and Benchmarking of a Human Detection Dataset for Disaster…
2 papers · 1 benchmark

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.