Apr 1, 2025 · YOLOv8 is designed to improve real-time object detection performance with advanced features. 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.

Ultralytics creates cutting-edge, state-of-the-art (SOTA) YOLO models built on years of foundational research in computer vision and AI. Constantly updated for performance and flexibility, our models are fast, accurate, and easy to use. They excel at object detection, tracking, instance segmentation, image classification, and pose estimation tasks.

Discover Ultralytics YOLOv8, an advancement in real-time object detection, optimizing performance with an array of pre-trained models for diverse tasks. YOLOv8 was released by Ultralytics on January 10th, 2023, offering cutting-edge performance in …

Mar 19, 2024 · YOLOv8, or You Only Look Once version 8, is an object detection model that falls under the YOLO (You Only Look Once) family of real-time object detection algorithms. YOLOv8 represents the latest iteration of the YOLO architecture and introduces several improvements over its predecessors.

YOLOv8 is a computer vision model architecture developed by Ultralytics, the creators of YOLOv5. You can deploy YOLOv8 models on a wide range of devices, including NVIDIA Jetson, NVIDIA GPUs, and macOS systems with Roboflow Inference, an open source Python package for running vision models.

Mar 19, 2025 · YOLOE is a real-time open-vocabulary detection and segmentation model that extends YOLO with text, image, or internal vocabulary prompts, enabling detection of any object class with state-of-the-art ... YOLOE-v8-large surpasses YOLOv8-L by 0.1 mAP, using nearly 4× less training time. This demonstrates YOLOE's exceptional balance of accuracy ...

Feb 17, 2025 · The Structure of the YOLO v8 model consists of a backbone for extracting features, a neck for enhancing representations, and a head for final object detection, optimizing speed and accuracy.

Dec 18, 2024 · YOLOv8 is the newest model in the YOLO algorithm series – the most well-known family of object detection and classification models in the Computer Vision (CV) field. With the latest version, the YOLO legacy lives on by providing state-of-the-art results for image or video analytics, with an easy-to-implement framework.

Oct 23, 2024 · YOLOv8 is the newest state-of-the-art YOLO model that can be used for object detection, image classification, and instance segmentation tasks. YOLOv8 was developed by Ultralytics, who also created the influential and industry-defining YOLOv5 model.