Datasets › MEDIC

MEDIC

Introduced by Firoj Alam et al. in MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification29 Aug 2021 archive 2025-07-28

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. It consists data from several data sources such as CrisisMMD, data from AIDR and Damage Multimodal Dataset (DMD).

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Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 5 papers for it but never published that list.

Dataset loaders archive 2025-07-28

crisisnlp.qcri.org/medic/firojalam/medicpytorch

1 loader as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Disaster Response

License archive 2025-07-28

CC BY-NC-SA 4.0

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

MEDIC

1 variant name, as the archive lists them.

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