MOLO: a hybrid approach using MobileNet and YOLO for object detection on resource constrained devices
Abstract Object detection is a critical task in computer vision, enabling advancements across domains such as autonomous systems, surveillance, and smart devices. This paper presents a hybrid approach leveraging both MobileNet and YOLOv8 to address the challenges of resource constraints and the dema...
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| Hauptverfasser: | , , , , |
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| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Springer
2025-10-01
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| Schriftenreihe: | Discover Artificial Intelligence |
| Schlagworte: | |
| Online-Zugang: | https://doi.org/10.1007/s44163-025-00398-3 |
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