Yolo11

Introduction

YOLOv11 is a commonly used object detection model built on the YOLO (You Only Look Once) architecture. It is designed to be fast and efficient while maintaining high accuracy in detecting objects in images and videos.

Available NPU Models

yolo11n

Support Platforms: LLM630 Compute Kit, Module LLM, and Module LLM Kit

• The model supports object detection tasks with high accuracy and speed.

Install

apt install llm-model-yolo11n

• Download llm-model-yolo11n

yolo11n-seg

Support Platforms: LLM630 Compute Kit, Module LLM, and Module LLM Kit

• The model supports object detection and segmentation tasks, providing detailed information about object boundaries.

Install

apt install llm-model-yolo11n-seg

• Download llm-model-yolo11n-seg

yolo11n-pose

Support Platforms: LLM630 Compute Kit, Module LLM, and Module LLM Kit

• The model supports object detection and pose estimation tasks, allowing for the identification of human poses in images.

Install

apt install llm-model-yolo11n-pose

• Download llm-model-yolo11n-pose

yolo11n-hand-pose

Support Platforms: LLM630 Compute Kit, Module LLM, and Module LLM Kit

• The model supports hand pose detection tasks, providing detailed information about hand positions and movements.

Install

apt install llm-model-yolo11n-hand-pose

• Download llm-model-yolo11n-hand-pose