Dataset of manually classified images obtained from a construction site
| Autor: | Del Savio, Alexandre Almeida, Luna Torres, Ana Felícita, Cárdenas Salas, Daniel Enrique, Vergara Olivera, Mónica Alejandra |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Repositorio Institucional-Ulima Universidad de Lima |
| Popis: | A manually classified dataset of images obtained by four static cameras located around a construction site is presented. Eight object classes, typically found in a construction environment, were considered. The dataset consists of 1046 images selected from video footage by a frame extraction algorithm and txt files containing the objects' class and coordinates information. These data can be used to develop computer vision techniques in the engineering and construction fields |
| Databáze: | OpenAIRE |
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