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YOLOv8 Segmentation is an advanced object detection and image segmentation model built upon the YOLOv8 (You Only Look Once version 8) framework. It combines the state-of-the-art detection capabilities of YOLOv8 with pixel-level segmentation, enabling precise identification and delineation of objects within images. This model is designed for tasks that require not only detecting objects but also understanding their exact boundaries and regions.
1. How accurate is YOLOv8 Segmentation compared to other models?
YOLOv8 Segmentation offers state-of-the-art performance, with improved accuracy and speed compared to its predecessors and many other segmentation models.
2. Can YOLOv8 Segmentation handle real-time video processing?
Yes, YOLOv8 Segmentation is optimized for real-time processing, making it suitable for video streams and live applications.
3. What input formats does YOLOv8 Segmentation support?
It supports common image formats such as JPEG, PNG, and BMP, and can process images of various resolutions.