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: https://roboflow.com 🔴 Community Session February 27 2024 at 08:00 AM PST / 11:00 AM EST / 05:00 PM CET: https://www.youtube.com/live/lF1BtQL1... Try YOLO-World for free: https://playground.roboflow.com/ ⭐ Inference GitHub: https://github.com/roboflow/inference ⭐ Supervision GitHub: https://github.com/roboflow/supervision ⭐ YOLO-World GitHub: https://github.com/AILab-CVC/YOLO-World 🗞 YOLO-World arXiv paper: https://arxiv.org/abs/2401.17270 🗞 YOLO-World blog post: https://blog.roboflow.com/what-is-yol... 📓 YOLO-World notebook: https://supervision.roboflow.com/deve... 🤗 YOLO-World + EfficientSAM HF Space: https://huggingface.co/spaces/Skalski... 🗞 GroundingDINO blog post: https://blog.roboflow.com/grounding-d... 🗞 Non-Max Suppression blog post: https://blog.roboflow.com/how-to-code... Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐