How to use Ultralytics YOLOE-26 (New) | Open Vocabulary & Real-Time Seeing Anything | Promptable 🚀

Open-vocabulary segmentation is changing how instance segmentation models are used in real-world applications. In this tutorial, we explore New Ultralytics YOLOE-26, a powerful model that supports both prompt-free segmentation and text-prompt-driven inference. We begin with a quick overview of the YOLOE-26 model, then we walk through different inference workflows, including prompt-free segmentation, single-class text prompts, and multi-class text prompts. These examples demonstrate how YOLOE-26 can dynamically detect and segment objects without requiring retraining on traditional datasets. Chapters: 00:00 - Introduction to YOLOE-26 model 00:44 - YOLOE-26 documentation overview 02:17 - YOLOE-26 inference demo 02:40 - Prompt-free segmentation mode 05:02 - Text-prompt segmentation (single class) 06:28 - Text-prompt segmentation (multiple classes) 07:32 - Additional prompt-based examples 08:11 - conclusion and key takeaways 🔗 Read more about YOLOE ➡️ https://docs.ultralytics.com/models/y... 🔗 Code (used in the video) ➡️ https://drive.google.com/file/d/1rJAb... Ultralytics Resources: 🏢 About Us: https://ultralytics.com/about 💼 Join Our Team: https://ultralytics.com/work 📞 Contact Us: https://ultralytics.com/contact 💬 Discord Community:   / discord   📄 Ultralytics License: https://ultralytics.com/license #yoloe26 #ultralytics #openvocabulary #objectdetection #computervision #deeplearning #promptai