Ultralytics version. Ultralytics YOLO11 Visão geral.

Ultralytics version 134. 2023 has been a great year for Ultralytics HUB, with 84 impactful version updates, each one steering us towards better functionality and user experience. YOLOv6 : Released by Meituan in 2022, and in use in many of the company's autonomous delivery robots. See full list on github. Ultralytics YOLO11 Visión general. 0 Using device="cpu" or not having any CUDA devices available for inference using Ultralytics YOLO What’s not impacted As far as our testing Ultralytics YOLOv5 🚀 is a cutting-edge, state-of-the-art (SOTA) computer vision model developed by Ultralytics. Ultralytics YOLO Component No response Bug Hi, it looks like the latest Ultralytics version (8. com; HUB: https://hub. 🌟 Summary The v8. Follow their code on GitHub. Ultralytics offre une variété de méthodes d'installation, y compris pip, conda, et Docker. Mar 19, 2025 · YOLOv5: An improved version of the YOLO architecture by Ultralytics, offering better performance and speed trade-offs compared to previous versions. ; Question. Dec 13, 2024 · So, because no versions of ultralytics match >8. Returns: (bool): True if an update is available, False otherwise. 4' str: Ultralytics 설정 버전( Ultralytics pip 버전과 구분) datasets_dir '/path/to/datasets' str: 데이터 세트가 저장된 디렉터리: weights_dir '/path/to/weights' str: 모델 가중치가 저장되는 디렉토리: runs_dir '/path/to/runs' str: 실험 실행이 저장되는 디렉터리: uuid 'a1b2c3d4' str Apr 1, 2025 · Watch: Ultralytics YOLOv8 Model Overview Key Features of YOLOv8. 87 Summary We are excited to announce the release of Ultralytics v8. 0)[computer software] Oct 10, 2024 · Ultralytics YOLO11 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. Dive into the details below to see what’s new and how it can benefit your projects. Ultralytics YOLO11 is not just another object detection model; it's a versatile framework designed to cover the entire lifecycle of machine learning models—from data ingestion and model training to validation, deployment, and real-world tracking. Mahmoud Atta Mohammed Ali, Tarek Aly, Atef Tayh Raslan, Mervat Gheith, Essam A. Oct 3, 2024 · 🚀 Announcing Ultralytics v8. 4 days ago · Home. cuda command in Python Checks if a new version of the ultralytics package is available on PyPI. If you have installed the project from pip, you can upgrade it to the desired version by running pip install --upgrade ultralytics==8. 61 Release! Hello Ultralytics Community! We are thrilled to announce the release of Ultralytics v8. 0 and Ultralytics. 📊 Key Changes Queue Management Improvement: Adjusted count reset behavior in the video Mar 30, 2025 · settings_version '0. Sie können YOLO über die ultralytics pip-Paket für die letzte stabile Version oder durch Klonen des Ultralytics GitHub-Repository für die aktuellste Version. Ultralytics HUB streamlines the development process by letting users upload datasets, access a range of pre-trained models, and manage their projects all in one place. Export Enhancements : Added standalone functions for exporting PyTorch models to ONNX and TensorRT formats, simplifying workflows for benchmarking and deployment. Sample Datasets: Included a selection of curated datasets for testing, demonstration, and benchmarking purposes, showcasing the capabilities of Ultralytics' models. 最適なリアルタイムの物体検出を追求する中で、YOLOv9は、ディープニューラルネットワークに特有の情報損失の課題を克服する革新的なアプローチで際立っています。 Installieren Sie Ultralytics. 0 will be 2024-07-24 👀 so be sure to check your dependencies and roll back if you experience any issues with PyTorch 2. This version introduces the Medical Pills Detection Dataset, improved developer tools, and refined workflows that raise the bar for your AI projects. 15. In self-driving cars, detecting pedestrians, other vehicles, and obstacles quickly and accurately is crucial for safety. Introduction. 探索Ultralytics YOLO 模型--专为高精度视觉人工智能建模而设计的最先进的人工智能架构。是企业、学者、技术用户和人工智能爱好者的理想选择。 YOLOv8 was released by Ultralytics on January 10th, 2023, offering cutting-edge performance in terms of accuracy and speed. Performance tracking with Ultralytics HUB. YOLO11 basiert auf den neuesten Entwicklungen in den Bereichen Deep Learning und Computer Vision und bietet eine unvergleichliche Leistung in Bezug auf Geschwindigkeit und Genauigkeit. YOLO11 is built on cutting-edge advancements in deep learning and computer vision, offering unparalleled performance in terms of speed and accuracy. Simpler. 3. 95 release Sep 3, 2024 · 🌟 Ultralytics Release v8. Ultralytics HUB’s Growth in 2023. Here are some of the other key features of Ultralytics HUB: Checks if a new version of the ultralytics package is available on PyPI. version. py build; Ultralytics YOLO11 Vue d'ensemble. To use a specific version of Ultralytics YOLOv8, you certainly can use version control systems provided by Python pip package manager and git. Jan 9, 2025 · Announcing Ultralytics YOLO v8. Ultralytics 、YOLOYOLO、SAM、RT-DETRモデルとともに、YOLOv3からYOLO11包括的なYOLO （You Only Look Once）バージョンをサポートしています。 各バージョンは、検出、セグメンテーション、分類など様々なタスクに最適化されている。 Watch: Ultralytics YOLOv8 모델 개요 YOLOv8 주요 기능. Installer Ultralytics. 🌟 Key Features and Improvements Dockerfiles Update: We’ve updated the source URLs for downloading 通过选择官方 ultralytics 图片来自 Docker Hub使用 Ultralytics 的 Docker 镜像，您可以避免本地安装的复杂性，并获得经过验证的工作环境。Ultralytics 提供五种主要支持的 Docker 镜像，每一种都具有很高的兼容性和效率： Dockerfile：推荐用于培训的GPU 镜像。 Jul 21, 2024 · 🚀 Announcing Ultralytics v8. 0 and childenvironment depends on ultralytics (^8. Introducing Ultralytics YOLO11, the latest version of the acclaimed real-time object detection and image segmentation model. 51 release focuses on Jan 22, 2025 · 对于那些可能不提供 `__version__` 属性的老版库来说，还可以尝试使用 `pkg_resources` 来读取元数据中的版本字段： ```python from pkg_resources import get_distribution print(get_distribution('ultralytics'). The arguments provided when using export for an Ultralytics YOLO model will greatly influence the performance of the exported model. Nous travaillons actuellement à une intégration directe et étroite entre YOLOv8 et Ultralytics HUB , qui permettra automatiquement aux utilisateurs de visualiser les mesures et les pertes de leur modèle, de prévisualiser les prédictions et de les comparer à d'autres modèles, publics ou privés. 55 - Now Available! We’re excited to announce the official release of Ultralytics v8. Pull Requests (PRs) are also always welcomed! Thank you for your contributions to YOLO 🚀 and Vision AI ⭐ Using YOLO11 through the Ultralytics package. 2. " Click "Save Version" to commit the changes. com; Community: https://community. I have searched the YOLOv8 issues and discussions and found no similar questions. Here’s a quick overview of what’s new: 🌟 Key Features and Improvements 📚 Documentation Script Improvement Enhanced the Jun 8, 2023 · Search before asking. They will also need to be selected based on the device resources available, however the default arguments should work for most Ampere (or newer) NVIDIA discrete GPUs. Mar 4, 2025 · This page offers a detailed technical comparison between Ultralytics YOLO11 and Ultralytics YOLOv8, two state-of-the-art models designed for object detection and other vision tasks. May 25, 2024 · To resolve this, I recommend ensuring that you have the latest version of the Ultralytics package installed. YOLOv8 、リアルタイムの物体検出、セグメンテーション、分類のためのUltralytics からの最新の進歩をご覧ください。AIの革命をご覧ください。 Adrian demonstrated that once an Ultralytics YOLO model is trained, users can export it using a few simple command-line flags. Here, you'll learn how to load and use pretrained models, train new models, and perform predictions on images. We've transformed the core structure of the architecture from a simple version into a robust platform. 0としてリリースされ、yoloモデルを使用した物体検出AIの開発が非常に容易になった。 YOLOv10: 실시간 엔드투엔드 객체 감지. May 22, 2023 · while the ultralytics package version that has the desired opencv version is 8. 49), version solving failed. " Find the version you want to revert to, click on the "" menu next to it, and select "Revert to Version. A great example of the benefits of anchor-free detection using YOLO11 is in autonomous vehicles. 53! This update brings several key improvements and updates that enhance the overall user experience and maintain the reliability of our software. The HUB also supports collaboration, making it easy for teams to work together on AI projects. Jun 1, 2023 · Pip install the ultralytics package including all One way to check if there is an issue with your installation is to run the torch. This update is designed to boost performance and adaptability for all users. 95, packed with enhancements to YOLOv8’s object tracking capabilities and improved model checkpoint flexibility. """ if ONLINE and IS_PIP Mar 20, 2025 · Model Export with Ultralytics YOLO. 增强型特征提取： YOLO11 采用改进的骨干和颈部结构，增强了特征提取能力，从而实现更精确的目标检测。 Nov 7, 2023 · Docs: https://docs. YOLO11 is built on cutting-edge advancements in deep learning and computer vision , offering unparalleled performance in terms of speed and accuracy . Mar 30, 2025 · settings_version '0. Apr 1, 2025 · Ultralytics YOLOv5u is an advanced version of YOLOv5, integrating the anchor-free, objectness-free split head that enhances the accuracy-speed tradeoff for real-time object detection tasks. We're excited to support user-contributed models, tasks, and applications. 4. You can update it using the following command: Ultralytics YOLO. The ultimate goal of training a model is to deploy it for real-world applications. 79! This update brings significant improvements in documentation workflows, a refined deployment process, and enhanced compatibility for inference tasks. 58! This update brings several exciting enhancements and optimizations to improve your experience with our YOLO models and GUI integrations. 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. This release brings groundbreaking features like TorchVision backbone integration and essential quality-of-life updates, including enhanced Docker support, dataset path refinements, and improved INT8 calibration validation. 📊 Key Changes 🔗 Numpy Dependency Update Improvement: Removed the Jul 23, 2024 · :pytorch: Release day for 2. Ultralytics YOLOv8. 0. 📊 Key Changes YOLOv10 Parameter Fix New max Dec 18, 2024 · 🚀 Announcing Ultralytics v8. By benchmarking, you can ensure that your model not only performs well in controlled testing environments but also maintains high performance in practical, real-world applications. For other state-of-the-art models, you can explore and train using Ultralytics tools like Ultralytics HUB. We will analyze their architectural nuances, performance benchmarks, and suitable applications to guide you in making an informed decision. aihz hkdd efhdaq gzpgzqmt zuels uwub rvqhbsaf bafpfbl lquikxi vnf fykpu zvtd awicwodc mvz vxkv