Ultralytics

Ultralytics Community Meetup in Shenzhen! 🚀 It was great to connect with the community and share the latest innovations in computer vision. From inspiring conversations on Ultralytics YOLO26 and Ultralytics Platform, to shared ideas on the future of vision AI, the energy in the room was incredible. Thanks to everyone who joined us and continues building with Ultralytics. We’re excited about what’s ahead and grateful to be building alongside such a passionate global community. Learn more ➡️ https://bit.ly/3Nvo7rS

Understand café activity with Ultralytics YOLO26. ☕ In this demo, YOLO26 monitors a café environment by detecting people, tables, chairs, and cashier areas in real time. The system tracks activity across zones, such as seating areas and counters, and estimates available capacity. This makes it possible to understand: ✅ How many people are inside ✅ Which seating areas are occupied ✅ How busy the cashier/till area is By combining object #detection with zone-based #counting, businesses can optimize #cafe seating, improve service flow, and better #manage peak hours. Learn more ➡️ https://lnkd.in/exws3ArF #Ultralytics #YOLO26

Join us on May 27th at 06:00 PDT/ 15:00 CEST for our next Ultralytics Live Session! 📢 Ultralytics’ Partnerships & Ecosystem Manager Francesco Mattioli and Embedded Computer Vision Engineer Lakshantha Dissanayake will be joined by DEEPX’s Strategic Marketing Director Tim (Youngseob) Park and Customer Support Senior Engineer, 김동균(Max) and Sixfab’s VP of Growth Okan Saracoglu. Learn how to export and deploy your compiled models on DEEPX NPUs for real-time, on-device inference. Expect low latency, minimal power consumption, and the reliability required for production-grade edge AI workloads. Register now  ➡️ https://lnkd.in/ehbFFQn5

New tutorial | Brain tumor detection with Ultralytics Platform 🧠 Brain tumor detection is a critical application of computer vision in medical imaging, enabling researchers and healthcare professionals to analyze MRI scans more efficiently and accurately. In this tutorial, we’ll show how to train Ultralytics YOLO on a brain tumor dataset using the Ultralytics platform What'll be covered: ✅ Dataset overview ✅ Model training ✅ Analyzing training metrics ✅ Running predictions with the trained model ✅ Exporting the model with configurable deployment parameters A practical walkthrough showing how modern Vision AI pipelines can support medical imaging analysis, from training to deployment within the Ultralytics ecosystem. Watch now ➡️ https://bit.ly/4wlt1cV #Ultralytics #Platform #YOLO26

Struggling to deploy Ultralytics YOLO26 models across platforms? 🤔 ONNX export makes it easier to run your trained models anywhere. With Ultralytics, you can export models to #onnx and deploy them across different frameworks, hardware, and environments without rewriting code. This helps avoid compatibility issues and reduces the effort needed to move from #training to #production. Whether you're targeting #edge devices, cloud systems, or optimized runtimes, ONNX acts as a common bridge. Fewer conversion issues. Faster #deployment. More flexibility. Learn more ➡️ https://bit.ly/3L4GzXo #Ultralytics #YOLO26

New release v8.4.50 | DeepX export for edge deployment 🚀 Ultralytics YOLO now supports DeepX export and inference, making it easier to deploy smaller, faster, end-to-end YOLO26 models on DeepX NPU edge hardware. Minor updates: ✅ More reliable hyperparameter tuning failure reporting ✅ Fixed `float16` and `bfloat16` fusion dtype issues ✅ Improved RT-DETR `eval_idx` deployment guidance Ultralytics v8.4.50 release notes ➡️ https://lnkd.in/e2zNhscZ

Detect smoke early with Ultralytics YOLO26. 🚨 Smoke is often the first visible sign of fire, and detecting it early can make a critical difference. With YOLO26, smoke can be detected in real time from video feeds, helping systems respond before flames have a chance to spread. This is especially useful in environments such as factories, forests, warehouses, and public spaces, where early warning is essential. Instead of relying only on traditional sensors, vision-based detection adds an extra layer of monitoring by leveraging existing camera infrastructure. Learn more ➡️ https://bit.ly/4oY5HxG #Ultralytics

Embedded Vision Summit - Day 1! 🚀 We're so excited to be exhibiting at #EVS26 in Santa Clara! Experience YOLO26 in action: real-time vision AI made faster and simpler, with up to 43% faster CPU inference. 📍 Booth 905 📅 May 11 - 12, 2026 | Santa Clara Convention Center ➡️ https://bit.ly/4u92iyK Abi Anderson Alexis S. Edge AI and Vision Alliance

Export Ultralytics YOLO26 models in one click using Ultralytics Platform. 🚀 Deploying models shouldn’t require complex scripts or manual conversions. With the Ultralytics Platform, you can export #YOLO26 models into multiple #deployment formats instantly, ready for edge devices, cloud services, or production pipelines. No extra setup. No conversion headaches. Just choose the format you need and download your optimized model. Try Ultralytics #Platform ➡️ https://bit.ly/4kAeCnD #Ultralytics #YOLO26

Embedded Vision Summit - see you tomorrow! 🚀 Visit Ultralytics at booth 905 during the #EVS26 exhibition showcase on May 11 - 12. Meet the team and experience live demos showcasing the latest advancements in Vision AI. Discover how to build and deploy production-ready computer vision models that drive efficiency and innovation across industries, from manufacturing to healthcare. 📍 Booth 905 📅 May 11 - 12, 2026 | Santa Clara Convention Center Edge AI and Vision Alliance Abi Anderson Alexis S.