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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 #Research

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Ultralytics

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34,316 görüntüleme • 1 ay önce •via X (Twitter)

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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 #ComputerVision
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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 #ComputerVision

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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 #WorkplaceSafety
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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 #WorkplaceSafety

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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 #YOLO26
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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 #YOLO26

Ultralytics

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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:
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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:

Ultralytics

19,910 görüntüleme • 5 ay önce

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 #YOLOE
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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 #YOLOE

Muhammad Rizwan Munawar

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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 #MachineLearning
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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 #MachineLearning

Muhammad Rizwan Munawar

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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 #trafficanalysis
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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 #trafficanalysis

Muhammad Rizwan Munawar

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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 #YOLO11
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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 #YOLO11

Ultralytics

252,142 görüntüleme • 4 ay önce

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 #People
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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 #People

Muhammad Rizwan Munawar

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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 #MachineLearning
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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 #MachineLearning

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14,980 görüntüleme • 12 gün önce

Count pasties in real time with Ultralytics YOLO! Automate bakery production by detecting and counting pasties, reducing manual errors, and improving packaging efficiency. It's perfect for food processing and smart factory workflows. Read more ➡️ #Industry40
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Count pasties in real time with Ultralytics YOLO! Automate bakery production by detecting and counting pasties, reducing manual errors, and improving packaging efficiency. It's perfect for food processing and smart factory workflows. Read more ➡️ #Industry40

Ultralytics

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Car-to-curb distance estimation using Ultralytics YOLO26. 🚗 In parking lots, knowing the exact distance between a vehicle and the curb can help prevent minor collisions and improve parking precision. In this demo, a car is detected and tracked, and the system calculates the distance from the curb in real time in pixel space, showcasing how computer vision can turn simple camera feeds into spatial awareness tools. Implementation details 👇 #cardistance #visionai #ROADSAFETYCONCERN
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Car-to-curb distance estimation using Ultralytics YOLO26. 🚗 In parking lots, knowing the exact distance between a vehicle and the curb can help prevent minor collisions and improve parking precision. In this demo, a car is detected and tracked, and the system calculates the distance from the curb in real time in pixel space, showcasing how computer vision can turn simple camera feeds into spatial awareness tools. Implementation details 👇 #cardistance #visionai #ROADSAFETYCONCERN

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i built an app to search old travel photos on my computer with natural language queries using free local AI models: - smolVLM to describe the scene and colours - roboflow RF-DETR to detect objects - chromaDB to store metadata labels and run semantic search - python + streamlit for the interface fast and free search has been achieved internally
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i built an app to search old travel photos on my computer with natural language queries using free local AI models: - smolVLM to describe the scene and colours - roboflow RF-DETR to detect objects - chromaDB to store metadata labels and run semantic search - python + streamlit for the interface fast and free search has been achieved internally

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Real-time bakery item counting using Ultralytics YOLO26 😍 In food production lines, counting sounds simple until it isn’t. Items move fast, overlap on conveyors, change orientation, and sometimes partially occlude each other. Whether it’s ice-cream cones on a belt or cream being filled into nests, maintaining accurate counts in real time is critical for quality control and throughput. More info 👇 #Bakery #Retail #MachineLearning
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Real-time bakery item counting using Ultralytics YOLO26 😍 In food production lines, counting sounds simple until it isn’t. Items move fast, overlap on conveyors, change orientation, and sometimes partially occlude each other. Whether it’s ice-cream cones on a belt or cream being filled into nests, maintaining accurate counts in real time is critical for quality control and throughput. More info 👇 #Bakery #Retail #MachineLearning

Muhammad Rizwan Munawar

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YOLO26新增了实时物体分割功能（real-time object segmentation）。 这个稍微套个壳就是个实时翻译产品，或者做互动对话的机器人也不错。
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YOLO26新增了实时物体分割功能（real-time object segmentation）。 这个稍微套个壳就是个实时翻译产品，或者做互动对话的机器人也不错。

独立开发者William

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1. Microsoft - AI For Beginners Curriculum 12-week, 24-lesson curriculum exploring Artificial Intelligence (AI). Covers Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, and more. Hands-on lessons, quizzes, and labs included.
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1. Microsoft - AI For Beginners Curriculum 12-week, 24-lesson curriculum exploring Artificial Intelligence (AI). Covers Symbolic AI, Neural Networks, Computer Vision, Natural Language Processing, and more. Hands-on lessons, quizzes, and labs included.

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Ready to get started with visual generative AI? Look no further. Learn how to run image and video models locally on RTX GPUs using ComfyUI with LTX & BlackForestLabsAI - Unofficial FLUX in our blog below. 👇
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Ready to get started with visual generative AI? Look no further. Learn how to run image and video models locally on RTX GPUs using ComfyUI with LTX & BlackForestLabsAI - Unofficial FLUX in our blog below. 👇

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Real-time object detection will never be the same. Traditional YOLO needs NMS to remove duplicate boxes; it's slow and inconsistent. YOLO26 skips it entirely: single-pass predictions, faster inference and up to 300 detections per image. Download model:
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Real-time object detection will never be the same. Traditional YOLO needs NMS to remove duplicate boxes; it's slow and inconsistent. YOLO26 skips it entirely: single-pass predictions, faster inference and up to 300 detections per image. Download model:

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New on Deepvue · Prompt Library with pre-built prompts for market analysis, themes, stock analysis and earnings · @ mentions to reference any watchlist or screener preset as context · / slash commands to search and run prompts instantly Entire research workflow in one place.
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New on Deepvue · Prompt Library with pre-built prompts for market analysis, themes, stock analysis and earnings · @ mentions to reference any watchlist or screener preset as context · / slash commands to search and run prompts instantly Entire research workflow in one place.

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No code. No friction. Just pure on-chain magic. Thanks to xPilot, a breakout project from the AI Hackathon, anyone will be able to create apps and interact with the blockchain using natural language prompts 🔥
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No code. No friction. Just pure on-chain magic. Thanks to xPilot, a breakout project from the AI Hackathon, anyone will be able to create apps and interact with the blockchain using natural language prompts 🔥

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