A dataset to test AI on forensic scenes
The aim of this article is to describe a dataset derived from crime scenes or fictitious accidents that can be used for artificial intelligence processing. The steps involved in setting up these forensic scenes, the data acquisition chain, classification and formatting will be described, as well as...
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2024-12-01
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| Series: | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| Online Access: | https://isprs-archives.copernicus.org/articles/XLVIII-2-W8-2024/117/2024/isprs-archives-XLVIII-2-W8-2024-117-2024.pdf |
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| _version_ | 1850111113402777600 |
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| author | H. Daudigny H. Daudigny P. Grussenmeyer |
| author_facet | H. Daudigny H. Daudigny P. Grussenmeyer |
| author_sort | H. Daudigny |
| collection | DOAJ |
| description | The aim of this article is to describe a dataset derived from crime scenes or fictitious accidents that can be used for artificial intelligence processing. The steps involved in setting up these forensic scenes, the data acquisition chain, classification and formatting will be described, as well as the first tests carried out in artificial intelligence. The first data formatting operations will be carried out so that they can be integrated into machine learning and deep learning solutions; in particular the deep learning solution SuperPointTransformer (Robert et al., 2023). The difficulties linked to this type of work and the benefits of using artificial intelligence for forensic scenes will also be presented. |
| format | Article |
| id | doaj-art-838fdaea835f422e897903b222d37e97 |
| institution | OA Journals |
| issn | 1682-1750 2194-9034 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| spelling | doaj-art-838fdaea835f422e897903b222d37e972025-08-20T02:37:41ZengCopernicus PublicationsThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences1682-17502194-90342024-12-01XLVIII-2-W8-202411712310.5194/isprs-archives-XLVIII-2-W8-2024-117-2024A dataset to test AI on forensic scenesH. Daudigny0H. Daudigny1P. Grussenmeyer2Criminal School of Justice, University of Lausanne Civil, Batochime, 1015 Ecublens, SwitzerlandUniversité de Strasbourg, INSA Strasbourg, CNRS, ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group, 67000 Strasbourg, FranceUniversité de Strasbourg, INSA Strasbourg, CNRS, ICube Laboratory UMR 7357, Photogrammetry and Geomatics Group, 67000 Strasbourg, FranceThe aim of this article is to describe a dataset derived from crime scenes or fictitious accidents that can be used for artificial intelligence processing. The steps involved in setting up these forensic scenes, the data acquisition chain, classification and formatting will be described, as well as the first tests carried out in artificial intelligence. The first data formatting operations will be carried out so that they can be integrated into machine learning and deep learning solutions; in particular the deep learning solution SuperPointTransformer (Robert et al., 2023). The difficulties linked to this type of work and the benefits of using artificial intelligence for forensic scenes will also be presented.https://isprs-archives.copernicus.org/articles/XLVIII-2-W8-2024/117/2024/isprs-archives-XLVIII-2-W8-2024-117-2024.pdf |
| spellingShingle | H. Daudigny H. Daudigny P. Grussenmeyer A dataset to test AI on forensic scenes The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
| title | A dataset to test AI on forensic scenes |
| title_full | A dataset to test AI on forensic scenes |
| title_fullStr | A dataset to test AI on forensic scenes |
| title_full_unstemmed | A dataset to test AI on forensic scenes |
| title_short | A dataset to test AI on forensic scenes |
| title_sort | dataset to test ai on forensic scenes |
| url | https://isprs-archives.copernicus.org/articles/XLVIII-2-W8-2024/117/2024/isprs-archives-XLVIII-2-W8-2024-117-2024.pdf |
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