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

Video Description

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/lF1BtQL16l4?si=f9sPd4DrX8tnDtc1 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-yolo-world - 📓 YOLO-World notebook: https://supervision.roboflow.com/develop/notebooks/zero-shot-object-detection-with-yolo-world - 🤗 YOLO-World + EfficientSAM HF Space: https://huggingface.co/spaces/SkalskiP/YOLO-World - 🗞 GroundingDINO blog post: https://blog.roboflow.com/grounding-dino-zero-shot-object-detection - 🗞 Non-Max Suppression blog post: https://blog.roboflow.com/how-to-code-non-maximum-suppression-nms-in-plain-numpy Stay updated with the projects I'm working on at https://github.com/roboflow and https://github.com/SkalskiP! ⭐