Consists of user-generated aerial videos from social media with annotations of instance-level building damage masks. This provides the first benchmark for quantitative evaluation of models to assess building damage using aerial videos.

Source: MSNet: A Multilevel Instance Segmentation Network for Natural Disaster Damage Assessment in Aerial Videos

Papers


Paper Code Results Date Stars

Dataset Loaders


Tasks


Similar Datasets


License


  • Unknown

Modalities


Languages