YOLOv8
A cutting-edge framework for training and deploying state-of-the-art YOLO models for object detection, segmentation, classification, and pose estimation.
What is YOLOv8?
Ultralytics YOLO is an open-source framework for training, validating, and deploying YOLO-based computer vision models. It provides a unified interface for multiple vision tasks including object detection, segmentation, classification, and pose estimation, solving the problem of needing separate tools for each task. The framework is designed to be fast, accurate, and easy to use, enabling rapid development of vision AI applications.
AI researchers, computer vision engineers, data scientists, and developers building real-time object detection and image analysis systems, from prototyping to production deployment.
Developers choose Ultralytics YOLO for its comprehensive multi-task support within a single framework, state-of-the-art model performance, extensive integration ecosystem, and the flexibility of both CLI and Python APIs that streamline the entire model lifecycle.
Overview
Ultralytics YOLO 🚀
Use Cases
Best For
- Real-time object detection in video streams and images
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