A state-of-the-art, real-time object detection system that quickly identifies and locates objects in images and videos.
YOLOv8 is the latest version of the YOLO (You Only Look Once) family of real-time object detection models. It improves upon previous versions with better accuracy and speed, making it ideal for applications requiring real-time processing. YOLOv8 can detect multiple objects in images or video streams simultaneously, with high precision and minimal computational resources. It's widely used in autonomous vehicles, surveillance, robotics, and augmented reality.
Real-time object detection
Instance segmentation
Image classification
Multi-object tracking
Pose estimation
Computer Vision Neural Network
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