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
Software Development
Los Angeles, CA 63,943 followers
Simpler. Smarter. Further.
About us
Ultralytics is on a mission to empower people and companies to unleash the positive potential of AI. We make model development accessible, efficient to train, and easy to deploy. It’s been a remarkable journey, but we’re just getting started. Bring your models to life with our vision AI tools: 🔘 Ultralytics HUB - Create and train sophisticated models in seconds with no code for web and mobile 🔘 Ultralytics YOLO - Explore our state-of-the-art AI architecture to train and deploy your highly accurate AI models like a pro
- Website
-
http://ultralytics.com
External link for Ultralytics
- Industry
- Software Development
- Company size
- 11-50 employees
- Headquarters
- Los Angeles, CA
- Type
- Privately Held
- Specialties
- AI, Deep Learning, Data Science, YOLOv5, YOLOv8, Artificial Intelligence, Machine Learning, ML, YOLO, and SaaS
Locations
-
Primary
Los Angeles, CA, US
Employees at Ultralytics
-
Hans van de Broek
Director of People | Ultralytics
-
Glenn Jocher
Founder & CEO at Ultralytics | YOLO11 🚀
-
Olga Krupskaia
Senior Technical Recruiter
-
Lakshantha Dissanayake
Embedded Computer Vision Engineer @Ultralytics | YOLOv8 | NVIDIA Jetson | Raspberry Pi | Edge TPU | ex-Seeed Studio
Updates
-
🚀 Exciting News! Ultralytics v8.3.5 is here! We're thrilled to announce the latest release, packed with enhancements to boost your experience: - Enhanced Reliability: Improved disk space and permissions checks ensure smoother training processes. - Resource Efficiency: Enjoy more stable and deterministic training runs with efficient disk caching. - Deterministic Training: Maintain consistency with robust caching options. Explore the full release notes and updates: - Release Notes https://lnkd.in/d3UUnjan - Changelog https://lnkd.in/dAiCjSu7 Try out the new features and share your feedback with us! Your insights are invaluable.
-
📢 Exciting Opportunity! 🌟 Be part of Ultralytics in #Madrid! 🇪🇸 Empower companies with seamless YOLO & Ultralytics HUB integration. 👉 Apply today and make a difference! #TechJobs #Hiring #Ultralytics #YOLO #JobOpportunity
-
Train and deploy Ultralytics YOLO11 on Ultralytics HUB! 🚀 Curious about how to get started with the new Ultralytics YOLO11 without needing code? Our latest blog walks you through how to train and deploy YOLO11 using our no-code platform Ultralytics HUB. Whether you're a computer vision expert or just getting started, this no-code solution simplifies AI model training and deployment with features like: ✅ Custom dataset support ✅ GPU-accelerated cloud training ✅ Real-time monitoring and easy API deployment Learn more ➡️ https://ow.ly/hR0E50TEeLH
How To Train and Deploy YOLO11 Using Ultralytics HUB by Abirami Vina
ultralytics.com
-
New tutorial | Object detection and tracking using Ultralytics YOLO11 and benchmarks! 🚀 In this exciting video, we will explore why YOLO11 is the most powerful object detection model to date! We’ll walk you through its incredible features, top-notch benchmarks, and real-world performance. From highlighting key updates to showing live coding demos and adding object tracking, this video is your complete guide to mastering YOLO11! What you’ll learn: ✅ Why YOLO11 stands out from other models with impressive benchmarks. ✅ Step-by-step guide on YOLO11’s new features and tasks it supports. ✅ Real-world examples to help you get started quickly! ✅ How to easily add object tracking for better results. Watch now ➡️ https://lnkd.in/dJh-dDku
How to Use Ultralytics YOLO11 for Object Detection and Tracking| How to Benchmark | YOLO11 RELEASED🚀
https://www.youtube.com/
-
📢 Exciting Opportunity! 🌟 Be part of Ultralytics in #Madrid! 🇪🇸 Empower companies with seamless YOLO & Ultralytics HUB integration. 👉 Apply today and make a difference! #TechJobs #Hiring #Ultralytics #YOLO #JobOpportunity
-
Here is all you need to know about Ultralytics YOLO11! 🚀 In our new blog, Abirami Vina takes you on a deep dive into the incredible features and real-world applications of YOLO11, including: ✅ Faster object detection and processing ✅ Enhanced accuracy with fewer parameters ✅ Optimized for edge devices and cloud deployment Whether you're a developer, researcher, or business, YOLO11 is designed to transform how you work with real-time AI across industries. Learn more ➡️ https://ow.ly/sWlE50TE2k7
All You Need to Know About Ultralytics YOLO11 and Its Applications by Abirami Vina
ultralytics.com
-
How does Ultralytics YOLO11 compare to its predecessors? 🤔 With up to 22% fewer parameters and higher mean Average Precision (mAP), YOLO11 outperforms earlier versions like Ultralytics YOLOv8m. Dive into the stats and see the difference. Discover the new advancements ➡️ https://ow.ly/peov50TAcOe
-
Ultralytics reposted this
I melted and inflated myself 😂 | Ultralytics YOLO11 met Pika AI 🎉 I noticed a lot of excitement about Pika in the community, so I gave it a try today on my video. It’s working well, but creating visuals takes a little time. 🎉 I also tested the YOLO11 pose model on a video from the Pika AI library, and the results are amazing! 💖 Feeling excited? Try out the YOLO11 pose models! 🙂 Just run: `yolo pose predict` Learn more ➡️ https://lnkd.in/dAuTsxKV
-
🚀 Exciting News from Ultralytics! 🚀 We're thrilled to announce the release of Ultralytics v8.3.4, packed with enhancements to boost your experience: 🔗 Compatibility & Flexibility: We've removed the upper version limit on `numpy`, ensuring seamless integration with newer versions. 🖥️ Optimized Workflow: Our CI schedule now aligns better with global developer workflows, improving efficiency. 📄 Enhanced User Experience: Improved error handling during export and enriched documentation with video tutorials for MobileSAM and SAM 2 models. Explore the full release notes and updates here: Release Notes https://lnkd.in/dJkzZGCZ Try out the new features and share your feedback with us! Your insights help us grow and improve. 🌟 #Ultralytics #YOLOv8 #MachineLearning #AI #OpenSource
Release v8.3.4 - `ultralytics 8.3.4` unpin `numpy<2.0.0` (#16655) · ultralytics/ultralytics
github.com