{"id":581342,"date":"2019-08-09T12:10:58","date_gmt":"2019-08-09T19:10:58","guid":{"rendered":"https:\/\/www.esri.com\/arcgis-blog\/?post_type=blog&p=581342"},"modified":"2019-08-11T12:48:59","modified_gmt":"2019-08-11T19:48:59","slug":"damage-assessment-using-deep-learning-in-arcgis","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/arcgis-blog\/products\/arcgis-pro\/imagery\/damage-assessment-using-deep-learning-in-arcgis","title":{"rendered":"Damage assessment using deep learning in ArcGIS"},"author":8452,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","format":"standard","meta":{"_acf_changed":false,"_searchwp_excluded":""},"categories":[22931],"tags":[42181,186132,445012,115262,35661],"industry":[],"product":[36841,36561],"class_list":["post-581342","blog","type-blog","status-publish","format-standard","hentry","category-imagery","tag-arcgis-pro","tag-deep-learning","tag-image-analyst-extension","tag-imagery","tag-machine-learning","product-api-python","product-arcgis-pro"],"acf":{"short_description":"Here's a look at how the damage assessment deep learning demo was done by USAA at the UC2019 plenary.","flexible_content":[{"acf_fc_layout":"content","content":"

In the aftermath of a natural disaster, response and recovery efforts can be drastically slowed down by manual data collection. Traditionally, insurance assessors and government officials have to rely on human interpretation of imagery and site visits to assess damage and loss. But depending on the scope of a disaster, this necessary process could delay relief to disaster victims.<\/p>\n