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YOLOv8-seg

Ultralytics YOLOv8-seg provides high-speed instance segmentation by pinpointing object boundaries with pixel-level precision.

This model architecture from Ultralytics executes simultaneous object detection and mask generation for 80 COCO classes. The YOLOv8n-seg variant delivers 30.5 mAP-mask at 1.1ms inference speeds (A100 TensorRT), balancing accuracy with extreme throughput. It serves critical roles in autonomous navigation (obstacle avoidance), agriculture (crop health monitoring), and robotics (pick-and-place operations). Users can export weights to ONNX or OpenVINO for deployment on diverse hardware: from cloud GPUs to mobile CPUs.

https://docs.ultralytics.com/tasks/segment/
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