How to Use SAHI with Ultralytics YOLO11 for Object Detection in Drone Footage | Real-time or Not? 🚀

Explore how SAHI (Slicing Aided Hyper Inference) enhances object detection with Ultralytics YOLO11. This tutorial provides an overview of SAHI, its documentation, and how to use it for inference with YOLO11. Learn how SAHI improves detection performance, when to use it, and how it compares to standard inference. Key highlights: 00:00 - Introduction to SAHI (Slicing Aided Hyper Inference). 01:40 - SAHI Documentation Walkthrough. 02:50 - Inference using YOLO11 + SAHI with Google Colab Pre-built Notebook. 03:45 - How to Clone the Ultralytics Repository? 03:54 - The Video we are going to use for Inference with SAHI. 04:46 - Main Idea Behind SAHI Technique. 05:14 - SAHI Example Code Walkthrough in Ultralytics Repository. 06:45 - How to run Inference with SAHI + YOLO11. 08:19 - Comparison of Results with and without SAHI. 08:50 - When to use the SAHI Technique. Is It Real-time? 09:26 - Conclusion and Summary. 🔗 Colab notebook ➡️ https://github.com/ultralytics/notebo... 🔬 Ultralytics YOLO Resources: 💻 GitHub Repository: https://github.com/ultralytics/ 📚 Documentation: https://docs.ultralytics.com/ #Ultralytics #YOLO #SAHI #ComputerVision #AI #DeepLearning