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In this video, we explore the powerful combination of Grounding Dino and Segment Anything Model 2 (SAM2) for image segmentation using text inputs. Learn how these models work together to enable precise object detection and segmentation with simple text prompts! 🔹 How Grounding Dino detects objects from text 🔹 How SAM2 refines segmentation for accuracy 🔹 Live demo of text-based segmentation 🔹 Use cases: Autonomous vehicles, medical imaging, and more Watch now to see AI-driven segmentation in action! ► Schedule an appointment with us: https://convolve-ai-inc.square.site/ ► Get in touch - [email protected] | +1 226-606-0988 ► Our Website: https://www.convolve.ai ► Link to the repository: https://github.com/IDEA-Research/Grou... ► Instagram: https://www.instagram.com/convolve.ai... ► Facebook: / 100090391818907 ► LinkedIn: / convolveai ► X: https://x.com/AiConvolve #groundingdino #sam2 #imagesegmentation #computervision #deeplearning #machinelearning #texttosegmentation #ai #objectdetection #segmentationai #groundedsam #sam2segmentation #convolutionalneuralnetworks #cvpr #aiinnovation #semanticsegmentation #automl #deeplearningmodels #openaimodels #artificialintelligence #computervisionai #objectsegmentation #researchai #autonomoussystems #cvresearch #groundingdinotutorial #sam2tutorial Our vision is to solve challenging industrial problems with software and AI. We pride ourselves on developing novel and robust software solutions, employing cutting-edge research and development to serve our customers, and providing state-of-the-art data analytics, computer vision, and robotics consulting. In this channel, we strive to keep you informed about the latest advancements and applications of AI and machine learning. Disclaimer: This channel and videos are for information purposes only. Convolve AI Inc., its affiliates, employees, presenters, creators, and directors of this video do not assume any liability with regard to the usage of this information. No consultant-client relationship is established by watching these videos, and no advice specific to your particular case is given.