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Ultralytics YOLO Vision 2026 returns September 13 π
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 π bit.ly/4fsgH2S
New tutorial | Speed up Ultralytics YOLO26 inference with Batching π
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 β‘οΈ youtu.be/YYCfz5OeEow
#Ultralytics #BatchInference #MLOps
Ultralytics retweeted
Zone + count + heatmaps + speed @ultralytics YOLO26 β½π₯
π‘ 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 π
More info π
#Analytics #MachineLearning #Research
Segment road potholes in real time using Ultralytics YOLO26! π³οΈ
Accurately identify potholes in images or video to support road maintenance, safety monitoring, and smart city infrastructure workflows.
Read more β‘οΈ docs.ultralytics.com/tasks/sβ¦
#AI #SmartCities #Ultralytics #YOLO26
YOLO Vision 2026! π
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.
π Big ideas. New technology. One incredible community.
π₯ Relive the highlights
Watch the replay here: bit.ly/4i3rvad
Community shout-out! π
Thanks to βeddy-guerra-johnβ 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 β‘οΈ platform.ultralytics.com/eddβ¦
#Ultralytics #ComputerVision #Streets #Road
Blur faces in real time with Ultralytics YOLO26! π‘οΈ
Automatically detect and anonymize faces across videos and live streams to protect privacy in CCTV, public footage, and compliance-ready applications.
Get started β‘οΈ docs.ultralytics.com/guides/β¦
#Ultralytics #AI #Privacy
Great to be at @nvidia GTC Berlin! π
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. π
bit.ly/4ihYtCB
Ultralytics retweeted
Green apple detection and counting using @ultralytics YOLO26! π
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
Extract pose estimation data using the Ultralytics framework! π§
Access keypoints, joint coordinates, and confidence scores directly from Ultralytics YOLO26 pose predictions, ideal for fitness analytics and human behavior research.
Read more β‘οΈ docs.ultralytics.com/tasks/pβ¦
#AI #ML #Ultralytics #YOLO26
Codeπ
"""""
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.jβ¦")
# 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)
"""""
Count vehicles using Ultralytics YOLO26! π
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 β‘οΈ docs.ultralytics.com/modes/tβ¦
#AI #TrafficAnalytics #Ultralytics #ObjectTracking
πͺπΈ Madrid, we're hiring!
Join us for Ultralytics Career Day π
π€ Meet Founder & CEO Glenn Jocher
π¬ Chat with the Ultralytics team
π€ Pitch yourself in 5 minutes
πΌ Explore open roles across AI, engineering, product & more
π
November 11 |π Madrid | π 2β5 PM
π : luma.com/rq0t3lel
New tutorial | PPE detection with Ultralytics YOLO26 π·
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 β‘οΈ youtu.be/L6Mz0OJQ6SU
#Ultralytics #PPEDetection #ComputerVision
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.
π New York City
π
November 17
Register now β‘οΈ luma.com/ch1cccql
Ultralytics retweeted
Retail checkout time monitoring using @ultralytics YOLO26 βοΈ
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 π
#Retail #Checkouttime #MachineLearning
New tutorial | Run Ultralytics YOLO26 in your browser with JavaScript π
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 β‘οΈ youtu.be/iiv1dtuVDTQ
#Ultralytics #JavaScript #LiteRT
Train in the cloud. Run semantic segmentation inference. All in one place. βοΈ
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 β‘οΈ platform.ultralytics.com/ultβ¦
#Ultralytics #ComputerVision #SemanticSegmentation
Ultralytics retweeted
Ensure safety on construction sites using @ultralytics YOLO26 β€οΈβπ₯
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. π
#Safety #Construction #MachineLearning












