A one-day event where researchers, engineers, and developers from over 500 companies come together for the fourth year to share knowledge, innovation, and progress.
Born from a community for a community, YOLO Vision 2025 (YV25), powered by Ultralytics, unites the open-source vision AI community. #YV25 is a conference focused on Data, ML, and computer vision advancements. Like many great ideas, Ultralytics started with a simple belief: AI should be open, accessible, and powerful enough to change the world.
Join industry experts and leaders in the AI field as we trailblaze the new frontier of vision AI.
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Join a vibrant, global community. Connect with professionals from around the world, broaden your network, and unlock exclusive opportunities for meaningful interactions.
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Explore the latest in Vision AI, including Ultralytics YOLO advancements, industry trends, and future breakthroughs. Stay ahead with firsthand insights and new technologies.
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Experience interactive demos and hands-on sessions with Ultralytics YOLO. See live examples of our vision AI in action across industries.
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Gain insights from industry leaders and end users on the latest in computer vision. Explore Ultralytics YOLO applications, case studies, and networking opportunities.
Join leading experts, researchers, and open-source contributors from the AI community.
Co-founder
Oisin Lunny
Co-founder
Oisin Lunny is an award-winning marketer, event MC, podcast host, speaker, UX professor, and former contributor to Forbes and The Guardian. A veteran of global tech firms, he now helps great people and companies tell their best stories via events and podcasts. He also DJs on Brighton's Slack City Radio.
Founder & CEO
Glenn Jocher
Founder & CEO
Glenn Jocher revolutionized AI with his YOLO models including YOLOv5, YOLOv8, and YOLO11. With over 112k GitHub stars and more than 100 million pip downloads, his vision for accessible AI empowers users worldwide to tackle real-world problems.
Developer Relations Manager
Angus Siberry
Developer Relations Manager
Angus brings together Computer Vision and Gen AI workloads, specialising in LLMs, VLMs and AI Agents. Part of the Metropolis team working with start-ups, consultants, and developers for key partners. He has a PhD in Computational Nuclear Physics from the University of Bristol, with a focus on applying advanced computational methods to radiation modelling.
Machine Learning Engineer
Merve Noyan
Machine Learning Engineer
Merve works at Hugging Face on computer vision and multimodality in the open-source team, developing open-source tools and lowering the barrier of entry to cutting-edge computer vision and multimodality. She's also authoring the book "Vision Language Models" published by O'Reilly.
General Manager of Product Management
Yuki Tsuji
General Manager of Product Management
Yuki Tsuji began his career as an analog circuit designer at Sony in 2004. He later led business strategy, expansion, and marketing across diverse image sensor applications. After assignments in the U.S. driving global growth, he now serves as General Manager of Product for Sony’s AITRIOS platform.
General Manager, The Americas & Chief Marketing Officer
Alexis Crowell
General Manager, The Americas & Chief Marketing Officer
Alexis is the Chief Marketing Officer for Axelera AI and the General Manager of the Americas. Over a 20+ year career, Alexis has lived and worked on four continents across multiple disciplines, including software engineering in cloud, client & edge technologies, AI and deep learning frameworks, and product marketing.
Engineer
David Plowman
Engineer
David Plowman is an engineer at Raspberry Pi specialising in camera systems, image processing software, algorithms and hardware. David is particularly interested in facilitating the development and deployment of cutting edge machine learning models across Raspberry Pi's edge-based vision and compute systems.
Senior MTS Product Application Engineer
Chang Liu
Senior MTS Product Application Engineer
Chang Liu is an engineer in the Artificial Intelligence group at AMD, where she explores features that accelerate LLM serving on AMD GPUs. She holds a master's degree in computer science from Cambridge. Her interest lies in enabling AI applications, including LLMs and computer vision, to run efficiently and robustly.