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

?? Exciting news! Ultralytics v8.3.8 is here, bringing enhanced performance and user experience to our community. ?? Top Benefits: 1. Performance Boost: Exception handling is now up to 4x faster with `try-except` blocks. 2. Improved User Experience: Streamlined queue management for smoother workflows. 3. Cross-Platform Compatibility: Enhanced image display for Colab and Kaggle users. ?? Explore the Details: - Release Notes https://lnkd.in/deMAUGG9 - Full Changelog https://lnkd.in/dBYp728Q Try out the latest version and share your feedback with us! Your insights help us improve. ??

Highlights from YV24 | Running Ultralytics YOLO Models on Intel's AI PC with OpenVino! Intel Corporation's keynote from this year's YOLO Vision 2024 featured Dmitriy Pastushenkov and Adrian Boguszewski delving into how to optimize and run Ultralytics YOLO11 in real-time on Intel's new AI PC using the OpenVINO toolkit. From demos to booths, explore the key moments of their talk in Abirami Vina's new blog! Learn more ?? https://ow.ly/L0aB50THGC4

Ultralytics YOLO11 - Performance metrics breakdown! ?? Let’s talk numbers! YOLO11’s performance metrics speak for themselves: from mAP to processing speeds, it delivers unmatched results. Check out the key stats that make YOLO11 a game-changer in computer vision. Full performance breakdown ?? https://ow.ly/p4Kq50TArpj

Ultralytics YOLO11 Performance | YOLOv10 ?? I just performed testing with YOLO11 medium-size model and It is performing well, additionally, the speed is slightly better as compared to YOLOv10 and the other object detection models. ?? Tips ?? You might not notice a big difference between YOLO11 and YOLOv10 when using small or nano models, but the gap becomes clear with medium or large models. ?? Recently, I noticed that YOLOv10, v9, and v7 run fast on powerful GPUs but struggle on CPUs, while YOLO11 excels on both. The hardware with software specifications and YOLO11 accuracy comparison pictures are shared in the comments below. ?? Learn more ?? https://lnkd.in/dSi_MkC6

New tutorial | Exploring Vision Language Models (VLMs) and Multimodal Fusion! ?? In this exciting video, we’ll delve into the world of VLMs and their powerful applications across various tasks! We’ll walk you through core functionalities like Image Captioning, Visual Question Answering, Text-to-Image Generation, and Multimodal Content Creation. What you’ll learn: ? Applications of Vision Language Models (VLMs). ? How VLMs are transforming AI with their diverse capabilities. ? Overview of multimodal fusion for enhanced scene understanding. Watch now ?? https://lnkd.in/duKbGxeB

How to use Ultralytics YOLO11 for Oriented Bounding Box (OBB) detection! ?? Whether you’re an AI developer or a business looking for enhanced object detection solutions, YOLO11 provides faster, more accurate results. Check out Abirami Vina's new blog and explore how OBB detection can transform industries like energy, infrastructure, and so much more! Learn more ?? https://ow.ly/cT4j50TGE5G

?? Exciting News! Ultralytics v8.3.7 is here! We're thrilled to announce the latest release, packed with enhancements to boost your AI projects: ?? Top Benefits: - Custom Predictor Fix: Seamless argument handling for custom predictors. - Performance Boost: Updated Docker image with PyTorch 2.4.1, CUDA 12.1, and cuDNN 9. - Synthetic Dataset Script: Easily create COCO datasets for testing and augmentation. ?? Dive into the details: - Release Notes https://lnkd.in/dGMwmNbd - Full Changelog https://lnkd.in/dMzg3GJj Try out the update and share your feedback. Let's innovate together! ??

YOLO Vision 2024: The key highlights! ? Check out Abirami Vina's new blog as we take a look at this year's 2024 (YV24) highlights. YV24 saw AI and computer vision innovators came together to discuss groundbreaking advancements like the launch of the new Ultralytics YOLO11 model and so much more! Learn more ?? https://ow.ly/C6wO50TGAiP

?? 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