Computer Vision

The YOLOv8 Edge: Harnessing Custom Datasets for Superior Real-time Detection

The paper details a YOLOv8 model trained on custom datasets, achieving a mAP50 of 0.864 and a mAP50-95 of 0.758 for detecting objects in real-time streams, demonstrating advancements in accuracy and speed.

Influencing Factors in Facial Recognition and Verification: A Siamese Neural Network Hyperparameter Study

The paper examines the effect of hyperparameters on Siamese neural network performance in facial verification tasks. It emphasizes the significance of diverse datasets and optimal hyperparameter selection to enhance model accuracy.