LARA: A Practical Evaluation of CPU-Efficient Object Detection Using YOLOv8, OpenVINO, and INT8 Quantization
The deployment of computer vision systems on resource-constrained computing platforms presents a practical challenge: modern deep learning models can provide strong detection capabilities, but their computational requirements may limit their responsiveness when dedicated graphics processing units (GPUs) are unavailable...