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.
Head of AI Sensing Product Line
Shuyang Zhou
Head of AI Sensing Product Line
Shuyang leads Seeed Studio's AI Sensing Product Line, specializing in Vision and Sound AI hardware solutions. Her focus is on advancing Edge AI technology and promoting open-source AI products to ensure user privacy and data control.
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.
OpenVINO Product Manager
Dmitriy Pastushenkov
OpenVINO Product Manager
Dmitriy Pastushenkov is an experienced Software Product Manager at Intel with over 20 years of global experience in industrial automation, IIoT, real-time systems, and AI. Since joining Intel in 2022, he has focused on enabling smart edge technologies and currently works as a software product manager for OpenVINO and the AI PC Software Stack.
Head of Sales & Business Development EMEA
Amir Sherman
Head of Sales & Business Development EMEA
Amir Sherman has over 25 years of experience in the embedded and Edge AI industry. He spent nearly 20 years at Arrow Electronics, holding technical and senior leadership roles, then drove global business development for Edge Impulse in TinyML and Edge AI. Amir now leads EMEA Sales & Business Development at DEEPX, helping expand strategic partnerships and drive adoption of next-generation Edge AI solutions.
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.