经过2 年的不断研究和开发,我们很高兴地宣布Ultralytics YOLOv8 的发布。这个YOLO 模型为实时检测和分割设定了新的标准,使我们能够更轻松地为各种使用案例开发简单而有效的人工智能解决方案。 关于我们 在GitHub 上贡献 明星 | 44,419 观看 | 352 叉子 ...
YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above: from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model ...
UltralyticsYOLOv8is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent...
YOLOv8 may also be used directly in a Python environment, and accepts the same arguments as in the CLI example above: from ultralytics import YOLO # Load a model model = YOLO("yolov8n.yaml") # build a new model from scratch model = YOLO("yolov8n.pt") # load a pretrained model ...
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8 Docs for details, raise an issue on GitHub for support, and join our Discord community for questions and discussions! To request an Enterprise License please complete the form at Ultralytics...
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excel...
YOLOv8 may also be used directly in a Python environment, and accepts the sameargumentsas in the CLI example above: fromultralyticsimportYOLO# Load a modelmodel=YOLO("yolov8n.yaml")# build a new model from scratchmodel=YOLO("yolov8n.pt")# load a pretrained model (recommended for train...
Ultralytics YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excel...
.github New YOLOv8 Results() class for prediction outputs (ultralytics#314) docker Docker layer reorganization 2 (ultralytics#362) docs ultralytics 8.0.11 bug fixes and performance improvements (ultralyt… examples New YOLOv8 Results() class for prediction outputs (ultralytics#314) tests CLI...
We hope that the resources here will help you get the most out of YOLOv8. Please browse the YOLOv8Docsfor details, raise an issue onGitHubfor support, and join ourDiscordcommunity for questions and discussions! To request an Enterprise License please complete the form atUltralytics Licensing....