Member-only story

Ultralytics YOLO11: Object Detection and Instance Segmentation🤯

Muhammad Rizwan Munawar
6 min readOct 27, 2024

In the fast-growing field of computer vision YOLO (You Only Look Once) has been recognized as the most effective method for the detection of objects. Each time, YOLO pushes the boundaries of object detection in real-time, and the most recent version Ultralytics YOLO11 adds better capabilities released by Ultralytics on their annual VisionAI event YOLO VISION 2024.

Glimpse of YOLO VISION 2024

YOLO11 is not just better at detecting objects but also adds advanced features like image segmentation, pose estimation, oriented bounding boxes, and many other awesome features, which makes it a flexible tool for applications in computer vision.

YOLOv10 vs Ultralytics YOLO11 Accuracy and FPS Comparison
Fig-1.1: YOLOv10 vs Ultralytics YOLO11 Accuracy and FPS Comparison

The above picture is a single frame of my LinkedIn post, where I have explained a lot of stuff about YOLO11 models.

In this article, we will dive deep into,

  • What’s new in YOLO11?
  • How to perform Object Detection using YOLO11?
  • How to perform Instance Segmentation with Object Tracking using YOLO11?
  • Real World Applications of YOLO11?

--

--

Muhammad Rizwan Munawar
Muhammad Rizwan Munawar

Written by Muhammad Rizwan Munawar

Passionate Computer Vision Engineer | Solving Real-World Challenges🔎| Python | Published Research | Open Source Contributor | GitHub 🌟 | Top Rated Upwork 💪

Responses (3)