Hi, I’m Muhammad Rizwan Munawar, proud to be ranked among the top 5 contributors to the Ultralytics repository, where I design and build real-time AI systems for object detection, segmentation, tracking, and pose estimation. I created Ultralytics Solutions, a modular toolkit solving real-world computer vision problems, from smart surveillance to industrial automation.
With 50K+ LinkedIn followers and over 15M impressions in the past year, I share open-source tools, tutorials, and research-driven insights to empower developers, startups, and enterprises building the next generation of Vision AI products.
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| Project | Description | GitHub | Stars |
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| YOLOv8 Object Tracking | Real-time object tracking using YOLOv8 with bounding boxes | View Repository | |
| YOLOv7 Tracker | YOLOv7 tracking pipeline for computer vision tasks | Explore on GitHub | |
| YOLOv5 Blur + Dashboard | Privacy-preserving object detection with blur & web dashboard | Check Project | |
| YOLOv7 Segmentation | Instance segmentation with YOLOv7 for visual intelligence | Visit Repo | |
| YOLOv7 Pose Estimation | Deep learning-based human pose recognition using YOLO | Access Project |
Click to expand
| Title | Link | Date |
|---|---|---|
| YOLO11 Object Detection & Segmentation | Read on Medium | |
| YOLO11 Real-Time Tracking in TrackZone | Read | |
| Smart Parking with YOLO11 | Read | |
| Workout Monitoring using YOLO11 | Read | |
| Monetizing Vision AI Projects | Read | |
| Top Resources to Learn CV in 2023 | Read | |
| Roadmap for Vision AI Careers | Read |
| Title | Link | Date |
|---|---|---|
| Pallet Racking Inspections (MDPI) | Read Paper | |
| Diabetic Retinopathy – Exudate Detection (IEEE) | Read Paper | |
| Rice Leaf Defect Detection (MDPI) | Read Paper | |
| Comparative Study of YOLO Models | Read Study | |
| Explainable AI for Drug Sensitivity (IEEE) | Read Paper | |
| Training YOLOv8 on Custom Data | Read Guide | |
| Speed Up Annotation Process | Read Tutorial | |
| Becoming a CV Engineer – Ultralytics Blog | Read Feature |




