Ultralytics

Ultralytics YOLO11 is Here! ?? ?? We proudly unveiled the YOLO11 models last Friday at our annual hybrid event, YOLO Vision 2024. Today, we’re thrilled to share that the YOLO11 models are now available in the Ultralytics Python package! Jing Qiu and Glenn Jocher have done an amazing job on the research and implementation of Ultralytics YOLO11. This launch is a testament to our team’s dedication and hard work over the past few months. Key highlights: ? Improved architecture for precise detection and complex tasks. ? Faster processing with balanced accuracy. ? Higher precision using 22% fewer parameters. ? Easily deployable on edge, cloud, and GPU systems. ? Handles detection, segmentation, classification, pose, and OBB. ?? Run Inference ```yolo predict model="yolo11n.pt"``` Learn more ?? https://ow.ly/mKOC50Tyyok

Ultralytics at Maker Faire Shenzhen 2024: Revolutionizing Vision AI! ?? Abirami Vina's latest blog highlights our journey at Maker Faire Shenzhen 2024, where the theme "Enchant Everything With AI" inspired us to showcase the transformative power of Vision AI. From innovative demos to engaging conversations led by our experts, Lakshantha Dissanayake and Jing Qiu, the event celebrated innovation and collaboration with the global maker community. Read more ?? https://ow.ly/fcWu50UeSGJ

?? Exciting News: Ultralytics v8.3.37 Is Here! ?? We’re thrilled to announce the release of Ultralytics v8.3.37, packed with powerful updates to make your AI journey smoother than ever! Here are the highlights: 1?? Auto-Optimized TensorRT Exports: Say goodbye to manual configurations! The new auto-workspace size simplifies TensorRT exports, making deployments effortless. 2?? Improved Label Padding for Accuracy: Enhanced annotation precision ensures you get the most reliable results in model training and evaluation. 3?? New Model Evaluation Mode: Quickly toggle models in and out of evaluation mode for seamless and consistent performance assessments. ?? Bonus: Check out our updated docs, featuring video tutorials for hand keypoint estimation and annotation tools. Full changelog ?? Ultralytics v8.3.37 Release Notes https://lnkd.in/dDWZBmtV ?? Try it today and let us know what you think! Your feedback is key to shaping the future of AI innovation. ?? #YOLO #Ultralytics #AI #TensorRT #MachineLearning #ObjectDetection

Ultralytics sweep annotator released | 8.3.37 ?????? Over the past week, I've been working on an idea to count objects by moving a line across the frame. Objects on the right side of the line will be detected or segmented with a count, while the left side remains empty. This concept can help highlight detections in specific areas and count them using a sweep annotator. The annotator works with any detection or segmentation model supported by Ultralytics ???? I’d love to hear your thoughts! If you have a specific use case, feel free to share it, and we can discuss it further. Find the code link in the first comment below! ??

Cattle detection using Ultralytics YOLO11! ?? This technology enables precise monitoring of cattle on farms, helping ranchers and livestock managers track animals' location and health. What sets it apart? It can enhance productivity, and generate valuable data insights that drive smarter decisions in agricultural practices. Read more ?? https://ow.ly/JnKG50TMpl3

Artificial Intelligence in Filmmaking: Unlocking New Creative Possibilities! ?? Abirami Vina's latest blog explores how AI is reshaping the entertainment industry. From breathtaking visual effects to innovative storytelling, AI is helping filmmakers push the boundaries of creativity. Learn more ?? https://ow.ly/Gvuu50UcKuZ

?? Exciting News! Ultralytics v8.3.36 is now live, bringing major enhancements and improvements: 1. Seamless OpenVINO Compatibility: We've updated to support the latest OpenVINO version, ensuring smoother performance, especially for macOS users. Transform your AI models with stability and efficiency! Detailed Update https://lnkd.in/djtj6bTP 2. Optimized Code Performance: Refinements in JavaScript and Python improve readability and execution speed, boosting productivity and user experience. Explore Code Refactoring https://lnkd.in/dAjpcwH4 3. Enhanced User Interface Experience: Enjoy a smoother documentation theme transition, improving interaction with our documentation across light and dark modes. PR on Theme Management https://lnkd.in/dWW45HCy We're committed to enhancing your AI journey. Try out the new update and share how it impacts your projects! Release Notes https://lnkd.in/ddxzvvPx #Ultralytics #OpenVINO #AI #MachineLearning #DeveloperUpdate ??

Ultralytics YOLO11: Revolutionizing Computer Vision ?? Dive into the latest insights shared by OpenCV in their new blog to explore how YOLO11 builds on the powerful Ultralytics YOLOv8 foundation and delivers remarkable performance upgrades. Highlights: ? YOLO11 is not just about object detection. It excels in instance segmentation, pose estimation, image classification, and even oriented object detection, offering unmatched versatility. ? You can choose the right fit for your project with five variants: nano, small, medium, large, and extra-large, each tailored for specific computational needs. ? YOLO11 is engineered for real-time applications, making it faster and more efficient than ever before. Read the full blog here ?? https://lnkd.in/dZnNJjrH OpenCV University Ankan Ghosh

New tutorial | Exploring the OpenAI O1 Model! ?? Join us as we delve into the world of the OpenAI O1 model, exploring its evolution, benchmarking its performance, and discussing potential applications. What's covered: ? Evolutionary stages of artificial intelligence and its significance. ? Key benchmarks showcasing the performance of the O1 model. Watch now ?? https://lnkd.in/dkpGqFit

Monitor and count items using YOLO11 ?? Using the Ultralytics documentation, I can easily build a car counting project with less than 50 lines of code! Documentation in comments ??