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 VideosPaper | Code | Results | Date | Stars |
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