A study of human pose estimation in low-light environments using YOLOv8 model
A study of human pose estimation in low-light environments using YOLOv8 model is a scholarly work, published in 2024. The main subjects of the publication include object detection, object, YOLOv8, deep learning, artificial intelligence, pose, computer vision, task, Multiple object tracking, glossary of archaeology, 3D pose estimation, pose estimation, machine learning, pattern recognition, field, and computer science. The authors conduct a comprehensive evaluation of six different models with varying complexities on the same low-light photograph to assess their precision and speed.