Vehicle detection method based on optimised YOLOV7 lightweight model / Johan Lela Andika Johan Budiman
The advancement of unmanned aerial vehicles (UAVs) has encouraged researchers to update object detection algorithms for better accuracy and computational performance. Previous works that apply deep learning models for object detection applications required high graphics processing unit (GPU) computa...
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| Format: | Thesis |
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2024
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| Online Access: | http://studentsrepo.um.edu.my/15512/1/Johan_Lela_Andika.pdf http://studentsrepo.um.edu.my/15512/2/Johan_Lela_Andika.pdf http://studentsrepo.um.edu.my/15512/ |
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