{"id":6148,"date":"2022-05-29T12:06:16","date_gmt":"2022-05-29T12:06:16","guid":{"rendered":"https:\/\/reactheme.com\/products\/wordpress\/waretech\/?page_id=6148"},"modified":"2025-01-05T18:37:20","modified_gmt":"2025-01-05T18:37:20","slug":"archaeomapanalyse","status":"publish","type":"page","link":"https:\/\/www.fieldtech.com.tr\/tr\/archaeomapanalyse\/","title":{"rendered":"Archaeomapanalyse"},"content":{"rendered":"\t\t
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Dynamic Orthophoto Segmentation<\/h2>\r\n <\/div>\r\n
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How does AI impact on efficiency? <\/h3>\r\n <\/a>\r\n <\/div>\r\n <\/div>\r\n

A dynamic orthophoto segmentation module called Archaeomapanalyse is developed for automatic object and defect segmentation of aerial orthophotos with artificial intelligence technology. The software aims to prevent human errors, facilitate, and accelerate the documentation and urban analysis processes. Over 90% accuracy is seen for each class.\n<\/p>\r\n <\/div>\r\n

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Can I adopt the software to other industries? <\/h3>\r\n <\/a>\r\n <\/div>\r\n <\/div>\r\n

The deep learning model's structure is designed to be adaptable to other industries, even though the project was developed within classes specifically determined for archaeological sites. Over 90% accuracy is seen for each class.\n\n<\/p>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/div>\r\n <\/section>\r\n \t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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