YOLO-World: Real-Time, Zero-Shot Object Detection Explained

In this video, you’ll learn how to use YOLO-World, a cutting-edge zero-shot object detection model. We’ll cover its speed, compare it to other models, and run a live code demo for image AND video analysis. Chapters: - 00:00 Intro - 00:42 YOLO-World vs. Traditional Object Detectors: Speed and Accuracy - 02:26 YOLO-World Architecture - prompt-then-detect - 03:59 Setting Up and Running YOLO-World - 05:33 Prompt Engineering and Detections Post-Processing - 09:20 Video Processing with YOLO-World - 13:16 Important Considerations for Using YOLO-World - 15:08 Beyond the Basics: Advanced use cases and future potential - 16:37 Outro Resources: - Roboflow: - 🔴 Community Session February 27 2024 at 08:00 AM PST / 11:00 AM EST / 05:00 PM CET: - ⭐ Inference GitHub: - ⭐ Supervision GitHub: - ⭐ YOLO-World GitHub: - 🗞 YOLO-World arXiv paper: - 🗞 YOLO-World blog post: - 📓 YOLO-World notebook: - 🤗 YOLO-World EfficientSAM HF Space: - 🗞 GroundingDINO blog post: - 🗞 Non-Max Suppression blog post: Stay updated with the projects I’m working on at and ! ⭐