Home

Welcome to the yolo11 wiki!

Introduction

The purpose of this wiki is to record the self-paced learning exercises on YOLO11 using the documentation from the corresponding Ultralytics website.

The exercises will focus on the key tasks supported by YOLO11 including but not limited to:

• Object Detection
• Instance Segmentation
• Image Classification
• Pose Estimation
• Oriented Object Detection
• Solutions
  • Analytics
  • Distance Calculation

Examples

• Predict
  • basic_predict.py
  • cls_predict.py
  • count_predict.py
  • helloyolo11.py
  • helloyolo11.sh
  • image_predict.py
  • obb_predict.py
  • plot_predict.py
  • pose_predict.py
  • seg_predict.py
  • thread_predict.py
• Solutions
  • analytics.py
  • count_region.py
  • dist_calc.py

Acknowledgments

I definitely owe a debt of gratitude to Glenn et al. for not just for making YOLO++ available but also for making sure that the documentation covers the basics to help newbies like me to hit the ground running. Ultralytics support is exemplary - fast response, focussed and, above all, enables us to carry on YOLOing.
@software{yolo11_ultralytics, author = {Glenn Jocher and Jing Qiu}, title = {Ultralytics YOLO11}, version = {11.0.0}, year = {2024}, url = {https://github.com/ultralytics/ultralytics}, orcid = {0000-0001-5950-6979, 0000-0002-7603-6750, 0000-0003-3783-7069}, license = {AGPL-3.0} }