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...
⭐ 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! ⭐
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