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🔥 Ultralytics v8.3.108 is here! - Export YOLO11 models to Sony IMX500 for seamless edge AI - New interactive tracking UI - Enhanced data augmentation guide #YOLO #EdgeAI #ComputerVision github.com/ultralytics/ul…

A quick guide on object tracking with Ultralytics YOLO11! 🌟 Abirami Vina's new blog dives into the world of object tracking—a core computer vision task that can help from factory automation to retail analytics and traffic monitoring. Lear more ➡️ ow.ly/XJrG50VALTI #AI

Boost agricultural efficiency with Ultralytics YOLO! 🚜🌾 From tractors to hay bales, YOLO’s real-time detection brings precision and automation across farm operations. Learn more ➡️ ow.ly/cEAN50VraVn #AI #AgTech #SmartFarming #PrecisionAgriculture

How does batch size impacts GPU utilization & training speed? 🚀 Larger batch sizes boost GPU efficiency but demand more memory, while smaller ones improve generalization. Finding the right balance is key. Explore more ➡️ ow.ly/X2mT50VcpJT #YOLO11 #DeepLearning #AI

New tutorial | Count objects in real time with Ultralytics YOLO11! 🍎 Build a real-time object counter with the Ultralytics Python package — from tracking apples on a conveyor belt to boosting accuracy with region-based methods. Watch now ➡️ ow.ly/MYul50VBq2X #YOLO #AI

🚀 Ultralytics v8.3.109 is here! - New confidence filter for RT-DETR validation - Smarter GPU memory management - Smoother CoreML exports #AI #DeepLearning #Ultralytics github.com/ultralytics/ul…

Curious about how machines "see"?💡 Abirami Vina's new blog looks at the core computer vision tasks from object detection to pose estimation, showcasing how Ultralytics YOLO11 can bring them all together in one powerful toolkit. Learn more ➡️ ow.ly/VK5Z50VBynh #AI

Strengthen logistics with Vision AI powered by Ultralytics! 📦 Harness the power of heatmaps to spotlight container movement, enhance loading operations, and improve safety at sea and ports. Learn more ➡️ ow.ly/IHjU50VraVT #AI #Logistics #PortOperations #Heatmap

Run Ultralytics YOLO seamlessly with Docker! 🐳 Using Docker ensures a consistent and scalable environment for YOLO, preventing dependency issues and simplifying deployment across different systems. Learn more ➡️ ow.ly/A0rS50Vezo9 #YOLO #AI #Docker #ML

Train Ultralytics YOLO11 to detect wildlife! 🦓 In her new guide, Abirami Vina takes us through how to train YOLO11 with the African Wildlife Dataset with just a few lines of code. Learn more ➡️ ow.ly/huWb50VCcTp #AI #computervision

Caps counting in assembly lines using Ultralytics YOLO11! 🏭 From manufacturing to packaging automation, YOLO11’s object counting ensures real-time cap monitoring for better efficiency and quality control. Learn more ➡️ ow.ly/CHQT50VfozW #Manufacturing #AI

🚀 Ultralytics v8.3.110 is here! Speed check your datasets, enjoy upgraded YOLOE docs, & get handy scripts out-of-the-box. Train smarter, not harder! #YOLO #MachineLearning #AI github.com/ultralytics/ul…

Reasoning capabilities of Google Gemini 2.5 Pro + Ultralytics utilities 🤯 Prompts: Detect the 2d bounding box around: ✅indoor waterfall ✅ morning light,  blue cushion, grey curtain. ✅ mirror inside closet, chairs ✅ house where car is parked Notebook ➡️

New tutorial | How to use Ultralytics' callback system for AI workflows! 🚀 From training to prediction and export, you’ll learn how to add callbacks to your workflow using the Ultralytics Python package. Watch now ➡️ ow.ly/xbfv50VCQ3Q #ml #ai #research

🚀 Ultralytics v8.3.111 drops! Experience faster, smaller YOLOv10, instant training with TensorBoard off by default, and a streamlined Colab tutorial. Fast, simple, smart! ⚡️✨ #YOLO #MachineLearning #AI github.com/ultralytics/ul…

Automate data labeling with Grounding DINO + Grounded SAM! 🚀 Generate high-quality bounding boxes and polygons from text prompts. Speed up annotation and build vision datasets—without the manual work. Learn more ➡️ ow.ly/zH3J50VzMs4 #AI #ML #VisionAI

The sky’s not the limit, it’s the starting point! 🚁 Abirami Vina's new blog looks at how to use computer vision models like Ultralytics YOLO11 to build AI-powered drone applications. Learn more ➡️ ow.ly/ac4E50VCY8t #AI #computer vision