Integrating YOLOv8 and many other models into Annotation Tool

[0ssamaak0]

We Integrated YOLOv8 and many other models such as META's SAM to DLTA-AI, An auto annotation tool that has many featuers such as

• Segmentation
• Video mode
• Tracking
• Zero Shot (both segmentation and tracking)
• custom export format

Check DLTA-AI Repo

[glenn-jocher]

@0ssamaak0 hello! It's fantastic to hear that you've integrated YOLOv8 into DLTA-AI, enhancing its capabilities with features like segmentation, video mode, tracking, and zero-shot learning. The versatility of YOLOv8, with its support for various computer vision tasks and modes, makes it a great fit for annotation tools aiming to streamline the annotation process and improve model training efficiency.

Your efforts in creating tools that leverage the power of YOLOv8 and other models contribute significantly to the community, and it's collaborations like these that drive innovation forward. 🚀

For those interested in diving deeper into YOLOv8's functionalities, such as training, validation, prediction, and more, our documentation at https://docs.ultralytics.com provides comprehensive guidance.

Keep up the great work, and if there are any specific questions or further integrations you're curious about regarding YOLOv8, feel free to reach out. The Ultralytics team is always here to support the community's endeavors. Happy coding! 🎉