Incidents1M
Introduced by Weber et al. in Incidents1M: a large-scale dataset of images with natural disasters, damage, and incidents
Incidents1M is a large-scale multi-label dataset for incident detection which contains 977,088 images, with 43 incident and 49 place categories. It is an evolution of the Incidents dataset that doubles the dataset size and includes more incident labels.
Papers
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