It then trained and tested the YOLOv8-PG model on this dataset, comparing its performance with other object detection models such as faster region-based convolutional neural network (Faster R-CNN ...

“Combining MediaPipe and YOLOv8, along with fine-tuning hyperparameters for ... This two-step approach of landmark tracking and object detection proved essential in ensuring the system’s high accuracy ...

Initially, YOLOv8 was used to detect and localize ... This research highlights the potential of integrating advanced object detection and landmark tracking technologies for enhancing communication ...

Combining MediaPipe and YOLOv8, a deep learning method they ... This two-step approach of landmark tracking and object detection proved essential in ensuring the system's high accuracy and ...