Αποτελέσματα Αναζήτησης
Experience seamless AI with Ultralytics HUB ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding. Transform images into actionable insights and bring your AI visions to life with ease using our cutting-edge platform and user-friendly Ultralytics App.
7 Νοε 2024 · Unlike earlier versions, YOLOv8 incorporates an anchor-free split Ultralytics head, state-of-the-art backbone and neck architectures, and offers optimized accuracy -speed tradeoff, making it ideal for diverse applications. For more details, check the Overview and Key Features sections.
All YOLOv8 pretrained models are available here. Detection and Segmentation models are pretrained on the COCO dataset, while Classification models are pretrained on the ImageNet dataset. Models download automatically from the latest Ultralytics release on first use. Detection.
Experience seamless AI with Ultralytics HUB ⭐, the all-in-one solution for data visualization, YOLOv5 and YOLOv8 🚀 model training and deployment, without any coding. Transform images into actionable insights and bring your AI visions to life with ease using our cutting-edge platform and user-friendly Ultralytics App.
Ultralytics YOLO11 is here! Building on the YOLOv8 foundation with R&D by @Laughing-q and @glenn-jocher in ultralytics/ultralytics#16539, YOLO11 offers cutting-edge improvements in accuracy, speed, and efficiency, redefining what's possible in real-time object detection and computer vision tasks.
Explore Ultralytics YOLOv8 - a state-of-the-art AI architecture designed for highly-accurate vision AI modeling. Ideal for businesses, academics, tech-users, and AI enthusiasts.
27 Σεπ 2021 · Integrate YOLOv5/v8 into your applications or optimize the ML model pipeline. Once trained on Ultralytics HUB, test your models in our Vision AI app. Discover Ultralytics HUB for seamless, no-code machine learning. Easily generate, train, and deploy AI models like YOLOv8 for business-scale solutions or individual research projects.