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Testing LingBot-Vision: The New Open Source Model for Glass, Mirrors, and Object Boundaries

Nicolai Nielsen24 July 2026Watch on YouTube

Description

Check out the project page here: https://technology.robbyant.com/lingbot-vision And code available on GitHub: https://github.com/robbyant/lingbot-vision Inside my school and program, I teach you my system to become an AI engineer or freelancer. Life-time access, personal help by me and I will show you exactly how I went from below average student to making $250/hr. Join the High Earner AI Career Program here 👉 https://www.nicolai-nielsen.com/aicareer (PRICES WILL INCREASE SOON) You will also get access to all the technical courses inside the program, also the ones I plan to make in the future! Check out the technical courses below 👇 _____________________________________________________________ In this video 📝 We are going to take a look at LingBot-Vision, the new open-source model for glass mirrors and object boundaries for the best spatial accuracy in a vision backbone.This can be used for very good spatial accuracy around boundaries of objects, which is very important in depth estimation. It is also useful for being able to handle reflective surfaces, glass, mirrors, and all different types of objects. If you enjoyed this video, be sure to press the 👍 button so that I know what content you guys like to see. _____________________________________________________________ 🛠️ Freelance Work: https://www.nicolai-nielsen.com/nncode _____________________________________________________________ 💻💰🛠️ High Earner AI Career Program: https://www.nicolai-nielsen.com/aicareer 📈 Investment Course: https://www.nicos-school.com/p/investment-course ⚙️ Real-world AI Technical Courses: (https://www.nicos-school.com) 📗 OpenCV GPU in Python: https://www.nicos-school.com/p/opencv-gpu-course 📕 YOLOv7 Object Detection: https://www.nicos-school.com/p/yolov7-custom-object-detection-with-deployment 📒 Transformer & Segmentation: https://www.nicos-school.com/p/transformer-and-segmentation-course 📙 YOLOv8 Object Tracking: https://www.nicos-school.com/p/yolov8-object-tracking-course 📘 Research Paper Implementation: https://www.nicos-school.com/p/research-paper-implementation 📔 CustomGPT: https://www.nicos-school.com/p/customgpt-course _____________________________________________________________ 📞 Connect with Me: 🌳 https://linktr.ee/nicolainielsen 🌍 My Website: https://www.nicolai-nielsen.com/ 🤖 GitHub: https://github.com/niconielsen32 👉 LinkedIn: https://www.linkedin.com/in/nicolaiai 🐦 X/Twitter: https://twitter.com/NielsenCV_AI 🌆 Instagram: https://www.instagram.com/nicolaicodes/ _____________________________________________________________ 🇦🇪 Want to move to Dubai and get Visa? - Book a free consultation: https://www.genzoneconsulting.com/meetings/schedule-session/nny _____________________________________________________________ 📷 My camera calibration software, CharuCo Boards, and Checker boards Link to webshop: https://camera-calibrator.com _____________________________________________________________ Tags: #lingbotvision #depthestimation #vision #spatialperception

What you'll learn

  • LingBot-Vision is an open-source AI model specializing in accurate spatial perception of object boundaries and surfaces.
  • The model improves detection of glass surfaces, mirrors, and other reflective materials for enhanced depth estimation.
  • Precise accuracy around object boundaries is essential for better depth perception in computer vision applications.
  • The project is available as open-source code on GitHub, allowing developers to use and customize it for their own applications.

Frequently asked questions

What is LingBot-Vision and what is it used for?
LingBot-Vision is an open-source AI model for computer vision that focuses on accurate spatial perception of object boundaries, glass surfaces, and mirrors. It is used for improved depth estimation and recognition of reflective surfaces.
Why is accuracy around object boundaries important in computer vision?
Accuracy around object boundaries is essential for better depth estimation, as it helps determine spatial proportions and distances of objects correctly.
How can I use LingBot-Vision in my own project?
LingBot-Vision is available as open-source code on GitHub. You can view the project at https://github.com/robbyant/lingbot-vision and then implement it for your own computer vision applications.
What types of surfaces can LingBot-Vision better recognize?
The model is specifically trained to better detect and analyze glass surfaces, mirrors, and other reflective materials, which sets it apart from standard vision models.

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