Simpler. Smarter. Further.

United States
Joined February 2014
Ultralytics YOLO11 is here! 🚀 As unveiled at YOLO Vision 2024, our new models is now live in the Ultralytics Python package! Featuring: ✅ Precise detection & complex tasks ✅ Detection, segmentation, pose & obb 🔗Learn more: ow.ly/nc4g50Tyy2Y
Code 👇 """"""" from ultralytics import FastSAM # Create a FastSAM model or FastSAM-x.pt model = FastSAM("FastSAM-s.pt") # Object tracking on the video file results = model.track(source="path/to/video.mp4", imgsz=640) """""""
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@ultralytics released support for the KITTI dataset🎉 Last week, I integrated this dataset into the package because I believe it can be very useful for vehicle detection and autonomous driving projects. Explore it➡️docs.ultralytics.com/dataset… #machinelearningprojects
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Ultralytics retweeted
Huge achievement reaching 20000 subscribers on the @ultralytics YouTube channel after just a few years from scratch! 🎉 we are coving everything in the Computer vision and ML training and evaluation space. If you watch the videos on the channel, you will pretty much become a practical computer vision and detection engineer. There is everything you need to know. We are not stopping here and and going much higher. 20k on a company channel is speaking for itself
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New tutorial | Automatic number plate recognition with Ultralytics YOLO11 and EasyOCR! 🚗 Detect and read license plates in real time using computer vision and OCR. Watch here ➡️ ow.ly/S6Zy50XokVF #EasyOCR #ANPR #ComputerVision
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Object tracking with FastSAM using the Ultralytics Python package! 🎯 Segment any object in real time using FastSAM and then track it across frames with built-in tracking, ideal for surveillance, retail, and smart automation. Learn more ➡️ ow.ly/1Bb250Xg8kw #ObjectTracking #MachineLearning
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Count cows in the field in real time with Ultralytics YOLO! 🐄 Define a line or region, track herd movement, and get accurate counts as animals cross your gate. Build smarter agritech monitoring in minutes. Explore more ➡️ ow.ly/3hyq50Xg2aC #Agritech #AI #ObjectCounting
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New tutorial | Depth estimation with MiDaS by Intel Labs See how AI perceives distance with monocular depth, run demos, visualize results & perform real-time webcam inference. Watch here ➡️ ow.ly/krmY50Xn35m #DepthEstimation #MachineLearning
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Catch us in Anaheim at Embedded World North America! Swing by the STMicroelectronics, where we showcase how Ultralytics YOLO models enable low-power, real-time Vision AI solutions at the edge! 📍Hall C, Level 1, Booth #4015 - Anaheim Convention Center 🗓️ November 5th - 6th
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Code 👇 """""" from ultralytics.data.converter import convert_coco convert_coco( "coco/annotations/", use_segments=False, use_keypoints=False, cls91to80=True, ) """"""
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Convert your COCO annotations into Ultralytics YOLO format! 🔁 Use the built‑in utility to transform COCO JSON into YOLO TXT annotation format, making your data ready for efficient YOLO model training. Read more ➡️ ow.ly/reoL50Xg857 #AI #MachineLearning #Research
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Automated lithium cell counting using @ultralytics YOLO🔋 In high-speed EV manufacturing, every count matters. By automating inspection, this workflow ensures consistency and minimizes waste, leading to a lower carbon footprint. #EVmanufacturers #artificial_intelligence
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Ultralytics retweeted
Object Counting with Computer Vision by @Ultralytics #Innovation #EmergingTech #TechForGood cc: @kirkdborne @ogrisel @ylecun
Embedded World North America - See you tomorrow 🚀 We are thrilled to have made it to California! Join us from November 4 - 6 at embedded world Exhibition&Conference as we partner with STMicroelectronics to showcase how we are enabling low-power, real-time Vision AI at the edge. Meet with Francesco Mattioli and Nuvola Ladi to learn about the latest advancements in Vision AI!
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Zoom in dynamically on chosen objects using Ultralytics YOLO! Click a tracked car or truck, crop it, and display the zoomed view alongside the main feed, ideal for traffic monitoring, fleet analytics, or drone‑based insights. Get started ➡️ ow.ly/ComV50Xg5Cc #AI #Research
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Ultralytics retweeted
BreadCount #AI: Real-Time Conveyor Belt Detection Using Ultralytics YOLOv11 by @Ultralytics #Innovation #EmergingTech #Technology #Tech #TechForGood cc: @HaroldSinnott @gp_pulipaka @ylecun
Ultralytics retweeted
(2/4) The Solution: -> @ultralytics YOLO for object detection -> Real-time bounding box overlays -> Multi-agent AI with LangGraph, built on @LangChainAI framework, for intelligent decision-making -> Interactive timeline for review