Run promptable segmentation with Ultralytics YOLO26-E! 🧠 Segment objects... using natural language prompts with YOLO26-E, ideal for flexible visual search, rapid annotation, and interactive computer vision workflows. Get started ➡️ #Ultralytics #YOLO26 #AI #Researchshow more

Run promptable segmentation with Ultralytics YOLO26-E! 🧠 Segment objects... using natural language prompts with YOLO26-E, ideal for flexible visual search, rapid annotation, and interactive computer vision workflows. #MachineLearning #AI #Researchshow more

Estimate car-to-curb distance in real time with Ultralytics YOLO26!... 🚗 Measure the distance between the vehicle and the curb using computer vision. Ideal for smart parking systems, driver assistance demos, and spatial safety analytics. Get started ➡️ #Ultralytics #YOLO26 #AI #Research #ComputerVisionshow more

Ultralytics YOLO11 vs Ultralytics YOLO26: Which one runs faster?... ⚡ Evaluate inference speed and performance across both models in the ONNX format to understand how YOLO26 improves efficiency for real-time computer vision applications. Read more ➡️ #Ultralytics #YOLO26 #AI #Research #ComputerVisionshow more

Detect worker falls in real time with Ultralytics YOLO26!... 📦 Combine object detection and pose estimation to identify when a person carrying luggage boxes falls, helping logistics teams improve warehouse safety and respond faster to incidents. Get started ➡️ #Ultralytics #YOLO26 #AI #Logistics #WorkplaceSafetyshow more

Animals segmentation & tracking using Ultralytics YOLO26 🫎 How... I created this demo: - Data annotation using Ultralytics Platform. - YOLO26 model training using Platform. - Downloaded the trained model. - Run Inference on video files locally. #animal #ai #MachineLearningshow more

Floor plans are data hiding in plain sight 🗺️... Ultralytics YOLO26 instance segmentation can identify walls, rooms, corridors, doors, and other architectural elements, helping to convert floor plans into structured layouts, support facility management, inform construction planning, and enable digital twin workflows. Explore more ➡️ #Ultralytics #YOLO26 #AIshow more

Improve crosswalk safety with Ultralytics YOLO26! 🚸 Detect pedestrians,... vehicles, and high-risk interactions in real-time to support safer crossings, smarter alerts, and improved traffic monitoring. Read more ➡️ #Ultralytics #YOLO26 #RoadSafetyshow more

Count rooftop panels with Ultralytics YOLO26 OBB! 🏠 Use... oriented bounding boxes to detect solar panels from aerial views and capture their orientation, enabling accurate counting for inspections, asset management, and infrastructure analytics. Explore more ➡️ #Ultralytics #YOLO26 #AI #ObjectCounting #ComputerVisionshow more

Monitor patient posture with Ultralytics YOLO26 Pose! Detect keypoints... in real time to identify positions like lying down vs. standing. Useful for patient monitoring, fall-risk alerts, and hospital/elder-care room analytics. Learn more ➡️ #AI #PoseEstimation #HealthTech #YOLO26show more

Launching today: Ultralytics YOLO26! The fastest, most deployable YOLO... ever built. For years, shipping object detection meant extra steps and messy post-processing. YOLO26 changes the game with end-to-end, NMS-free inference, simpler deployment, and strikingly low latency. Built End-to-End. Built for the Edge. 👉 Get started today:show more

YOLOE-26 released by Ultralytics support text + visual prompts... 🤯 This was a part of the YOLO26 release. It's a zero-shot, promotable model, almost like YOLO-World, but it also offers real-time object segmentation. Highlights👇 #AI #MachineLearning #YOLOEshow more

Football players detection + tracking using Ultralytics YOLO26 ⚽️... It took me 30 minutes to train the YOLO26 model on a custom dataset using Ultralytics Platform. Later, I used the object tracker (Bytetrack) for tracking the players; tracking could be improved further, and I am working on it this week. More info 👇 #soccer #football #MachineLearningshow more

Detect small objects using Ultralytics YOLO26 + SAHI 😍... A perfect combo when speed isn’t the priority, but accuracy is everything, especially when detecting tiny or distant objects in your images. learn how it works 👇 #AI #objectdetection #trafficanalysisshow more

Depth anything v2 vs. Ultralytics YOLO26 depth | Speed... comparison 🚀 For this demo, I compared yolo26m-depth with depth-anything-v2-small on an NVIDIA RTX 3050 using the same input settings. Even though I used the medium YOLO26 model, it delivered nearly 2× the throughput: 22 FPS vs. 11 FPS. #Vehicles #MachineLearning #Researchshow more

Vehicle tracking using Ultralytics YOLO26 👀 In this demo,... I trained the YOLO26 model on a custom dataset and later used an object tracker (Bytetrack) to track the objects in the video file. Note: I also performed testing with Botsort, which is also a good tracker, but it's slow in comparision to Bytetrack. #Tracking #ComputerVision #MachineLearningshow more

Detect road potholes in real time using Ultralytics YOLO11!... 🕳️ Identify potholes accurately from images or video to support road maintenance, safety monitoring, and smart city infrastructure workflows. Read more ➡️ #AI #SmartCities #Ultralytics #YOLO11show more

Mediapipe is cool, but Ultralytics YOLO26 Pose is on... another level 🔥🔥🔥 I ran a quick comparison between mediapipe and YOLO pose, and while both have their strengths, YOLO26 blew me away. My findings👇 Raw video credit: NVIDIA Team 😀 #AI #PoseEstimation #Peopleshow more

Railway operators manage thousands of kilometers of track and... critical infrastructure every day!🚆 With Ultralytics YOLO26, teams can automatically monitor assets such as insulators, rail clamps, semaphores, and towers in images and video, improving asset visibility and supporting predictive maintenance workflows. Explore more ➡️ #RailwayOperations #MachineLearning #AIshow more

Floor plan segmentation using Ultralytics YOLO26! Architectural floor plans... represent rich, unstructured spatial datasets. Applying instance segmentation enables precise identification of structural elements (walls, doors, corridors, and rooms), converting raw CAD images into structured digital assets. These outputs directly support spatial modeling, digital twin integration, and automated facility management. #Construction #AI #MachineLearningshow more

People counting in zones using Ultralytics YOLO26 🧑‍🤝‍🧑 In... this demo, people are moving on elevators. I used a custom-trained YOLO26 model to detect and track each person, then applied the object counting in zones solution to count the number of people within each zone. 🙂 #people #retail #MachineLearningshow more