Αποτελέσματα Αναζήτησης
28 Αυγ 2024 · This study presents a detailed analysis of the YOLOv8 object detection model, focusing on its architecture, training techniques, and performance improvements over previous iterations like YOLOv5. Key innovations, including the CSPNet backbone for enhanced feature extraction, the FPN+PAN neck for superior multi-scale object detection, and the ...
- A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond
This paper aims to provide a comprehensive review of the...
- A Comprehensive Review of YOLO: From YOLOv1 to YOLOv8 and Beyond
This paper presents YOLOv8, a novel object detection algorithm that builds upon the advancements of previous iterations, aiming to further enhance performance and robustness. Inspired by the evolution of YOLO architectures from YOLOv1 to YOLOv7, as well as insights from comparative analyses of models like YOLOv5 and YOLOv6, YOLOv8 incorporates ...
This paper aims to provide a comprehensive review of the YOLO framework’s development, from the original YOLOv1 to the latest YOLOv8, elucidating the key innovations, differences, and improvements across each version.
20 Νοε 2023 · We present a comprehensive analysis of YOLO’s evolution, examining the innovations and contributions in each iteration from the original YOLO up to YOLOv8, YOLO-NAS, and YOLO with...
This paper aims to provide a comprehensive review of the YOLO framework’s development, from the original YOLOv1 to the latest YOLOv8, elucidating the key innovations, differences, and improvements across each
2 Απρ 2023 · We present a comprehensive analysis of YOLO's evolution, examining the innovations and contributions in each iteration from the original YOLO to YOLOv8.
2 Απρ 2023 · This paper presents YOLOv8, a novel object detection algorithm that builds upon the advancements of previous iterations, aiming to further enhance performance and robustness, and is poised to address the evolving needs of computer vision systems.
