Ultralytics YOLO can also be integrated directly into your Python projects. It accepts the sameconfiguration argumentsas the CLI: fromultralyticsimportYOLO# Load a pretrained YOLO11n modelmodel=YOLO("yolo11n.pt")# Train the model on the COCO8 dataset for 100 epochstrain_results=model.train(dat...
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...
If you use the YOLOv8 model or any other software from this repository in your work, please cite it using the following format: BibTeX @software{yolov8_ultralytics,author={Glenn Jocher and Ayush Chaurasia and Jing Qiu},title={Ultralytics YOLOv8},version={8.0.0},year={2023},url={https...
1. YOLOv8仓库链接 YOLOv8的GitHub仓库由Ultralytics团队维护,你可以通过以下链接访问: YOLOv8 GitHub仓库 2. 仓库内容和结构 在YOLOv8的GitHub仓库中,你可以找到以下内容: 代码:包括YOLOv8模型的定义、训练、验证和推理代码。 配置文件:如cfg/models/v8/目录下的YAML文件,定义了不同版本的YOLOv8模型结构。 数据...
Discover Ultralytics YOLO - the latest in real-time object detection and image segmentation. Learn its features and maximize its potential in your projects.
Ultralytics YOLOv8 是一款前沿、最先进(SOTA)的模型,基于先前 YOLO 版本的成功,引入了新功能和改进,进一步提升性能和灵活性。YOLOv8 设计快速、准确且易于使用,使其成为各种物体检测与跟踪、实例分割、图像分类和姿态估计任务的绝佳选择。 我们希望这里的资源能帮助您充分利用 YOLOv8。请浏览 YOLOv8 文档 了解详细信...
Repository files navigation README License Security English | 简体中文 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 ...
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...
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...
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...