Fine tuning of YOLOv3 training for object detection in images recorded by a UAV
This thesis focuses on optimizing training of the YOLOv3 (You Only Look Once) model for object detection using UAV (Unmanned Aerial Vehicle)-captured imagery. It showcases the importance of hyperparameter selection in training effectiveness. Specifically, through extensive analysis, we identified im...
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| Main Authors: | , |
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| Other Authors: | |
| Language: | English |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://hdl.handle.net/11610/27081 |
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