🤯 This open-source Python library can make your computer vision workflow dramatically easier. Meet **Supervision by Roboflow** — a powerful computer vision toolkit for object detection, object tracking, video analytics, annotation, and real-time AI applications. Whether you’re building robotics projects, AI cameras, traffic monitoring systems, security solutions, sports analytics platforms, or YOLO-based applications, Supervision helps you develop faster with fewer lines of code. ✅ Object Detection ✅ Multi-Object Tracking ✅ Video Processing ✅ Real-Time Analytics ✅ Visual Annotations ✅ YOLO, Grounding DINO & More If you’re learning AI, machine learning, deep learning, Python programming, or computer vision engineering, this is a tool worth adding to your toolkit. 💾 Save this reel for your next AI project 📤 Share with a developer or robotics enthusiast 📲 Follow for more AI, robotics, automation, and open-source tools 🔗 GitHub link in bio/description github.com/roboflow/supervis… What computer vision project are you building right now? 👇 #ComputerVision #ArtificialIntelligence #MachineLearning #DeepLearning #Python PythonProgramming OpenSource Robotics AIProjects ObjectDetection ObjectTracking VideoAnalytics YOLO GroundingDINO DataScience Automation SoftwareEngineering TechTools Coding ProgrammerLife AIEngineer ComputerVisionEngineer TechReels Innovation AITools RoboticsEngineering CodingCommunity DeveloperTools OpenSourceSoftware FutureTech

Object tracking with FastSAM using the Ultralytics package! 🎯 FastSAM is a real-time CNN-based segmenter for prompt-based segmentation. Combined with Ultralytics Track mode, you can assign persistent IDs and track segmented objects across frames. Learn more ➡️ bit.ly/4rpV4oG #ObjectTracking #Segmentation

agree but we must talk abou the other side of the things as well to keep up the balance somehow

my advise is for honourable high value men. they never get emotinally hijacked by women. no religion or culture support that idea. so you need to work on your self first.

Muz allah saar muz converted muslim saar nigga you’re a fucking cuck 🤣

New tutorial! 🚀 SAM 3 for Video: Concept-Aware Segmentation and Object Tracking pyimg.co/luxfd 👍 Author: @cosmo3769 #ComputerVision #ObjectTracking #VideoAI #SAM3 #DeepLearning #AI

New tutorial | Oriented Bounding Boxes with Ultralytics YOLO26 🚀 Detect and track rotated objects such as boats and ships, using rotation-aware OBB models. Watch here ➡️ bit.ly/3ZSTkZ2 #Ultralytics #YOLO26 #OBB #ComputerVision #ObjectTracking

Count vehicles using Ultralytics YOLO26! 🚗 Define multiple regions, track each vehicle with its own unique ID, and get per-zone counts & overall totals. Ideal for traffic-flow analytics, toll monitoring, and smart city dashboards. Explore more ➡️ bit.ly/3XSyh7L #AI #ObjectTracking #TrafficAnalytics #Ultralytics #YOLO26

I'd you just copy pasted someone else's comments 😁

Do it! No one is stopping.

Made with Depth Scanner by @isosceles.vj aescripts.com/depth-scanner #aftereffects #aescripts #depthscanner PACK ⬕ Tracking Corp We live in the age of everything being tracked. Corporate chasing that money. Gov watching the masses. But I think computer vision is a strange thing to directly experience since it's typically hidden away. It's particularly interesting to watch the tracking errors and remember that the world is becoming increasingly automated by AI models with little human oversight. I've always steered clear of using any pre-made stock footage in my VJ packs, but in this specific instance it was actually the perfect way forward. I was aiming for two central themes: tracking data of crowds/cars/airplanes and then also the banal corporate obsession with tracking data but ironically mapped back onto itself. I ended up sticking with using footage only from Pixabay and Pexels since their license terms were very clear that I could commercially distribute the footage so long as I creatively modified it. I had to jump through all sorts of technical hoops to pull off the next steps. I wanted to use the Blace FX to block out the eyes of each person and then use the Vision FX to overlay tracking boxes/labels, although I realized that both of these FX are very heavy to render out from After Effects and yet I wanted to create some glitch variations. So I had no choice but to pre-render so that I could bake the Vision and Blace FX into the footage. While waiting for those AE renders to finish, I got curious of what sort of other object tracking visualizations that I could do. I tested out the ComfyUI-MotionDiff extension to generate OpenPose footage. I also tested out the ComfyUI-DepthAnythingV2 extension to generate depth maps footage. This has been the most tedious project I've worked on in a long time but I love the end result. I wanted to make even more variations but this VJ pack was already humongous. But I'd suggest throwing a threshold FX on the DataOverlaySolo scenes for some gritty vibes. Or maybe some VHS noise FX to make it feel like security cam footage. Welcome to the future, it's full of glitches. #machinelearning #computervision #objecttracking #vjloops #vjing #concertvisuals

New tutorial | Multi-object tracking with Ultralytics YOLO26 🎯 Use built-in BoT-SORT & ByteTrack, understand track vs predict mode, and run real-time tracking on video. Watch here ➡️ youtu.be/qQkzKISt5GE #YOLO26 #Ultralytics #ObjectTracking #ComputerVision

Salah satu use case dari "AI Computer Vision"? Sport Science. video dibawa hanya menggunakan Object Detection Tracking, kureng yah hahaha.. normalnya sport-science, pipeline-nya bisa lebih panjang: Frame -> Object Detection (eg; RT-DETR) -> Transform (Crop) -> Pose Estimation (ViTPose) -> Action Recognition (eg: PoseC3D) -> Analytics DB Detection: tau SIAPA Tracking: tau YANG MANA (across frames) Pose: tau GIMANA posturnya Action: tau NGAPAIN Dari visual jadi metrics, Dari "feeling" jadi data #AI #ComputerVision #SportScience #ObjectTracking #BerkaryaNgulikAI

Bahas AI Computer Vision yuk! YOLO, SAM, DINO, Florence. Dari CNN ke Transformer ke Foundation Model. Benchmark makin tinggi. Paper makin banyak. Tapi di production? Detection doang = objek muncul-hilang-muncul. Beda ID. Pernah ngalamin gak? Yang bisa nyambungin detection frame-to-frame? Bukan model yang lebih gede, tapi Object Tracking. And this thread will demystify it - the life AFTER detection 🧵 #AI #ComputerVision #ObjectTracking #DeepLearning #MachineLearning #BerkaryaNgulikAI

He is most probably a radical muslim.

Looks like it

Track people in real time with Ultralytics YOLO11! 🚶‍♂️ Assign IDs and track movement of different objects accurately across frames, ideal for crowd analytics, occupancy monitoring, and smart surveillance systems. Read more ➡️ bit.ly/3XSyh7L #VisionAI #ObjectTracking

اللہ ایسے طمطراق سے بچاے 😂😂😂😂

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

今回はちょっと面白いやも。 (ObjectTracking & ArmIK)