YOLOv8 is a cutting-edge, state-of-the-art (SOTA) model that builds upon the success of previous YOLO versions and introduces new features and improvements to further boost performance and flexibility. YOLOv8 is designed to be fast, accurate, and easy to use, making it an excellent choice for a wide range of object detection and tracking, instance segmentation, image classification and pose estimation tasks.
The following table lists the YOLOv8 detection model supported by the Vitis AI Library.
| No | Model Name | Framework |
|---|---|---|
| 1 | yolov8m_pt | PyTorch |