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

🔒 Safe parsing (no eval) • 🎨 custom Albumentations • 🧩 NCNN via PNNX — vv8.3.226 #Ultralytics #YOLO11 github.com/ultralytics/ultra…

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) """""""

@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

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

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

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

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

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

@ST_World @embedded_world

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

Code 👇 """""" from ultralytics.data.converter import convert_coco convert_coco( "coco/annotations/", use_segments=False, use_keypoints=False, cls91to80=True, ) """"""

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

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

"Real-Time Weld Defect Inspector" Website: omidsakaki.ir/projects/67 Github: github.com/omid-sakaki-ghazv… Kaggle: kaggle.com/code/omidsakaki13… @ultralytics @kaggle @officialmapnaEN @tamirankhodro #YOLOv8 #WeldDefectDetection #ComputerVision #IndustrialAI #NDT #QualityControl

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!

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

KITTI support for YOLO11 🚗 Safer SAM/SAM2 loads 🛡️ Stable Jetson builds 🔧 — Ultralytics vv8.3.225 🚀 #YOLO11 #KITTI github.com/ultralytics/ultra…

BreadCount #AI: Real-Time Conveyor Belt Detection Using Ultralytics YOLOv11 by @Ultralytics #Innovation #EmergingTech #Technology #Tech #TechForGood cc: @HaroldSinnott @gp_pulipaka @ylecun

(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