8 datasets found

Deep learning benchmarks and datasets for social media image classification for disaster response

Damage assessment from social media imagery data during disasters

MEDIC: A Multi-Task Learning Dataset for Disaster Image Classification

This dataset contains social media posts and network camera data collected during Hurricane Irma in 2017.

The dataset is used for training and validation of the segmentation networks.

Satellite images are an extremely valuable resource in the aftermath of natural disasters such as hurricanes and tsunamis where they can be used for risk assessment and disaster...

The Ahr Valley data set is used for testing the model's generalization to an out-of-distribution setting.

The xBD dataset comprises diverse disaster events from across the globe, serving as the primary focus for the evaluation of deep learning models.