Simpler. Smarter. Further.

United States
Joined February 2014
Ultralytics YOLO Vision 2026 returns September 13 πŸš€ Join our hybrid global event for the next generation of Ultralytics YOLO, major launches, live demos, breakthrough research, and real-world deployments. Open vision, built for the real world. Register now πŸ‘‰ bit.ly/4fsgH2S
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New tutorial | Speed up Ultralytics YOLO26 inference with Batching πŸš€ Learn how to achieve up to a 2Γ— inference speed boost in our benchmark with a batch size of 16 running on @Apple hardware. Explore Python implementation, GPU utilization & performance trade-offs. Watch here ➑️ youtu.be/YYCfz5OeEow #Ultralytics #BatchInference #MLOps
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Zone + count + heatmaps + speed @ultralytics YOLO26 ⚽πŸ”₯ πŸ’‘ Last week, I spent some time adding more graphs for advanced analytics that include line graphs, bar plots, and distribution pie graphs. Some glimpses of the graphs are mentioned in the comments πŸ™Š More info πŸ‘‡ #Analytics #MachineLearning #Research
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Segment road potholes in real time using Ultralytics YOLO26! πŸ•³οΈ Accurately identify potholes in images or video to support road maintenance, safety monitoring, and smart city infrastructure workflows. Read more ➑️ docs.ultralytics.com/tasks/s… #AI #SmartCities #Ultralytics #YOLO26
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YOLO Vision 2026! πŸš€ From the first look at YOLO27 to new Ultralytics Platform capabilities, live demos, and real-world vision AI, YV26 brought the global AI community together. 🌍 Big ideas. New technology. One incredible community. πŸŽ₯ Relive the highlights Watch the replay here: bit.ly/4i3rvad
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Community shout-out! πŸ™Œ Thanks to β€œeddy-guerra-john” for sharing the See World dataset with the Ultralytics community. It gives developers a practical way to explore Ultralytics YOLO26 in everyday scenes, with ideas that extend to robotics, safety, retail, and visual automation. Explore ➑️ platform.ultralytics.com/edd… #Ultralytics #ComputerVision #Streets #Road
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Blur faces in real time with Ultralytics YOLO26! πŸ›‘οΈ Automatically detect and anonymize faces across videos and live streams to protect privacy in CCTV, public footage, and compliance-ready applications. Get started ➑️ docs.ultralytics.com/guides/… #Ultralytics #AI #Privacy
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Great to be at @nvidia GTC Berlin! πŸš€ Building on our work with NVIDIA, we're exploring how Cosmos Data Factory + Ultralytics YOLO can improve industrial defect detection using synthetic data. Our latest blog dives into smarter training, fewer labels, and faster results. πŸ‘‡ bit.ly/4ihYtCB
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Green apple detection and counting using @ultralytics YOLO26! 🍏 This approach can be useful for agricultural automation, fruit sorting, inventory management, and quality inspection, helping reduce manual counting and improve efficiency. #fruits #Apples #agritech
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Extract pose estimation data using the Ultralytics framework! 🧍 Access keypoints, joint coordinates, and confidence scores directly from Ultralytics YOLO26 pose predictions, ideal for fitness analytics and human behavior research. Read more ➑️ docs.ultralytics.com/tasks/p… #AI #ML #Ultralytics #YOLO26
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CodeπŸ‘‡ """"" from ultralytics import YOLO # Load a YOLO26n model model = YOLO("yolo26n-pose.pt") # Predict with the model on an image results = model("ultralytics.com/images/bus.j…") # Access the results for result in results: xy = result.keypoints.xy # x and y coordinates xyn = result.keypoints.xyn # normalized kpts = result.keypoints.data # x, y, visibility (if available) """""
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Count vehicles using Ultralytics YOLO26! πŸš— Define multiple regions, track each vehicle with its own unique ID, and get per-zone counts & overall totals. Ideal for traffic-flow analytics, toll monitoring, and smart city dashboards. Explore more ➑️ docs.ultralytics.com/modes/t… #AI #TrafficAnalytics #Ultralytics #ObjectTracking
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πŸ‡ͺπŸ‡Έ Madrid, we're hiring! Join us for Ultralytics Career Day πŸš€ 🀝 Meet Founder & CEO Glenn Jocher πŸ’¬ Chat with the Ultralytics team 🎀 Pitch yourself in 5 minutes πŸ’Ό Explore open roles across AI, engineering, product & more πŸ“… November 11 |πŸ“ Madrid | πŸ•‘ 2–5 PM πŸ”— : luma.com/rq0t3lel
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New tutorial | PPE detection with Ultralytics YOLO26 πŸ‘· Learn how to train YOLO26 model on custom dataset with 1,100 labeled images to detect helmets, vests, gloves, boots & missing safety gear, then run inference locally with Python. Watch here ➑️ youtu.be/L6Mz0OJQ6SU #Ultralytics #PPEDetection #ComputerVision
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AI can see the world. The next challenge is understanding it, predicting what happens next, and knowing how to act. Join Glenn Jocher, Founder & CEO of Ultralytics, and James Swingos, COO of General Intuition, in New York for a fireside chat on physical AI: what's possible today, where it's already making an impact, and the breakthroughs that could define what comes next. Stay after the conversation for food, drinks, and networking with the vision AI community. Spots are limited. πŸ“ New York City πŸ“… November 17 Register now ➑️ luma.com/ch1cccql
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Retail checkout time monitoring using @ultralytics YOLO26 ⌚️ Last night I built this. In retail, time is a crucial factor in various aspects. Here, I'm specifically referring to checkout time, which is critical to analyze because it can impact customer feedback and trust. The longer the checkout process takes, the more dissatisfied customers may become. More info πŸ‘‡ #Retail #Checkouttime #MachineLearning
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New tutorial | Run Ultralytics YOLO26 in your browser with JavaScript 🌐 Learn how to export YOLO26 to @Google's LiteRT and run real-time object detection on webcam feeds and videos directly in the browser, without a Python inference backend. Watch here ➑️ youtu.be/iiv1dtuVDTQ #Ultralytics #JavaScript #LiteRT
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Train in the cloud. Run semantic segmentation inference. All in one place. ☁️ With Ultralytics Platform, you can train semantic segmentation models on your own data and run inference directly to visualize pixel-level predictions. Try it on the Platform ➑️ platform.ultralytics.com/ult… #Ultralytics #ComputerVision #SemanticSegmentation
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Ensure safety on construction sites using @ultralytics YOLO26 ❀️‍πŸ”₯ By leveraging computer vision models, we can not only safeguard construction workers' lives but also share alerts in advance to help prevent potential damage and injuries. πŸš€ #Safety #Construction #MachineLearning
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