Instance vs semantic segmentation difference | Ultralytics🚀 🧩Instance segmentation... answers: “Which pixels belong to each object?” 🎨Semantic segmentation answers: “Which pixels belong to each class?” #segmentation #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

Today we're releasing the Segment Anything Model (SAM) —... a step toward the first foundation model for image segmentation. SAM is capable of one-click segmentation of any object from any photo or video + zero-shot transfer to other segmentation tasks ➡️show 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

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

Live AI Object Segmentation with the Raspberry Pi 5... and the HAILO AI Accelerator Hat+ with 26 TOPSshow 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

Occlusion is still a challenge for SAM2. Video object... segmentation is not solved yetshow more

So I had a free time and I decided... to train a custom segmentation machine learning model on road lane. I combined it with Snap AR sky segmentation. Let me know what you think guys. #AugmentedReality #ar #aishow 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. Get started ➡️ #Ultralytics #YOLO26 #AI #Researchshow more

Path segmentation and interpolation, and variable stroke width in Redraw

From 2D to 3D segmentation: theory and applications of... u-Segment3D by Felix Zhou et al.show more

a conceptual ui prototype of segmentation triggered by mouse... movement, without prompting:show more

Sora 2 can make a depth map, heat map,... edge map and segmentation view, simultaneously in a grid. > start with a close up view of a woman in a studio, then split into a 2x2 grid showing in each cell the depth map, heat map, edge detection and segmentation of the sceneshow more

We are presenting **SAD** (Segment Any RGBD): SAD is... able to perform 3D segmentation (segment out any 3D object) with RGBD inputs (or rendered depth images only). - Code: - Demo Hugging Face:show more

Segment Anything is fun and powerful but still requires... full mask annotation for supervised training. Our new work MaskFreeVIS appearing at #CVPR2023 shows we can get accurate video instance segmentation WITHOUT any video or image mask annotations. More atshow more

Created a quick VFX to make Wimbledon more green🌱... Using Camera Pose Estimation, body & ball segmentation to incorporate the grass simulation 🙂show more

🚀 Wan 2.6 is now live on fal !... • Text-to-Video & Image-to-Video up to 1080p • Up to 15 second generations • Multi-shot video with intelligent scene segmentation • Import your own audio • Reference-to-Video - use 1-3 reference videos for character/object consistencyshow more

Core AI: Realtime video image detection, tracking, and segmentation... with SAM 3 and RF-DETR. All running on-device. I will share the code in the comments.show more

Pothole detection on the road in real time using... Ultralytics YOLO26! 🕳️ Manual road inspections are slow, costly, and hard to scale. With object detection, potholes can be identified directly from street-level images or video feeds, enabling faster and more consistent road condition monitoring. How I built this demo: ✅ Trained a segmentation model on a custom dataset. ✅ Generated mask contours for each pothole. ✅ Leveraged the onnx-exported model for faster processing. #Pothole #RoadDamage #AIshow more