Maximizing YOLOv2 efficiency: A study on multiclass detection of indoor objects
The objective of the present study is to present a systematic approach for optimizing the key hyperparameters of YOLOv2 model for multiclass object detection, specifically targeting seven classes of indoor objects: chair, fire extinguisher, printer, screen, trash bin, exit, and clock. Based on an in...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2025-06-01
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| Col·lecció: | Results in Engineering |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2590123025014756 |
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