{"id":38761,"date":"2025-07-15T10:11:13","date_gmt":"2025-07-15T09:11:13","guid":{"rendered":"https:\/\/www2.eucentre.loc\/image-database-for-earthquake-damage-annotation\/"},"modified":"2025-12-11T14:41:24","modified_gmt":"2025-12-11T13:41:24","slug":"image-database-for-earthquake-damage-annotation","status":"publish","type":"page","link":"https:\/\/www.eucentre.it\/en\/image-database-for-earthquake-damage-annotation\/","title":{"rendered":"Image Database for Earthquake Damage Annotation"},"content":{"rendered":"

Image Database for Earthquake Damage Annotation<\/h1>\n<\/div><\/div>
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IDEA (Image Database for Earthquake Damage Annotation) is a dataset developed by Eucentre comprising over 5,400 real images of structural and non-structural damage annotated by structural engineers. These images were captured during post-earthquake inspections in L’Aquila (2009), Emilia (2012) and Central Italy (2016\u201317), as well as during regular surveys of buildings and infrastructure. Traditional digital cameras and unmanned aerial vehicle (UAV) systems were used to capture the images.
\nThe dataset’s primary objective is to address the shortage of annotated data required for training and validating deep learning algorithms for automatically detecting and classifying structural damage. Unlike many other datasets, IDEA is based on images that are truly annotated (rather than simply classified), collected in real contexts and representative of widespread building types in Southern Europe.
\nEach image is accompanied by an XML annotation file in Pascal VOC format containing detailed information on:<\/p>\n