A deep learning model for firearm detection in surveillance videos
This work focuses on the detection of firearms in non-canonical perspectives in surveillance videos using deep learning with a focus on computational efficiency. In particular, the performance of YOLOv8, a state-of-the-art architecture, is evaluated using the nano version, its most efficient variant...
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| Autore principale: | |
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| Natura: | bachelorThesis |
| Lingua: | eng |
| Pubblicazione: |
2024
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| Soggetti: | |
| Accesso online: | http://repositorio.yachaytech.edu.ec/handle/123456789/863 |
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