Object tracking with FastSAM using Ultralytics Python package 🎉💪... FASTSAM-s model is employed for real-time object detection, combined with botsort object tracking to further boost performance. 🐻 Code link 👇 #FastSAM #MachineLearning #Researchshow 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

New trackers released by Ultralytics 😍 botsort, bytetrack, ocsort,... deepocsort, fasttrack, and tracktrack. Object tracking tells you which object is which across frames. I recently tested the newly released trackers in this demo. Here's what I found. 👇 #tracker #MachineLearning #Researchshow more

Object detection + tracking + counting using Ultralytics YOLO26... 🚀 👉 Object detection tells you what is in a scene. 👉 Tracking follows each object across video frames. 👉 Counting turns those movements into actionable data. YOLO26 delivers fast, accurate detections, while multi-object tracking maintains unique identities across frames. Add configurable counting lines or regions to measure entries, exits, directional movement, and other real-world traffic metrics. #vehicles #MachineLearning #Highwayshow 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

Meta's SAM 3 is a beast. before: collect data,... train custom object detector, use tracker to estimate object motion - days now: track anything with text prompt - seconds real-time object detection will never be the same.show 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

Curling stone tracking v1 Olympic Games edition. How I... made this first version: - YOLO for real-time stone detection - ByteTrack (Supervision) for consistent object tracking - SciPy for trajectory smoothing - OpenCV + NumPy for annotation, velocity, direction and acceleration visualization The colors indicate whether the stone is : accelerating → green stable → orange decelerating → redshow more

Train a TensorFlow object detection model – then deploy... it on a robot 🤖 Iulia Feroli (Iulia Feroli) shows how to turn a notebook into a real-time object detection app. This tutorial works for any project – though we demonstrate the deployment on (and assisted by!) the #ReachyMini, an open-source robot from Pollen Robotics. Built with PyCharm + Claude Code. 👉 Watch it in action:show more

i made Dumb Drum Revolution. smack everyday objects to... create "music" built with: - roboflow RF-DETR for object detection - mediapipe hand tracking - web audio API and some drum samples runs in realtime in the browser for all your drumming needsshow more

RoadScan-AI-Automated-Pothole-Detection-Tracking RoadScan AI is a computer vision system built... to automatically detect and track potholes in road footage — including dashcam, drone, and fixed-camera video. At its core, the system uses a YOLO11n model fine-tuned on a custom pothole dataset, paired with ByteTrack for multi-object tracking. This enables the system to maintain a consistent identity for each pothole across frames rather than treating every detection as a new, isolated event.show more

NVIDIA finally released Neuralangelo's source code! The model can... turn videos from any device into detailed 3D structures, fully replicating buildings, sculptures, or other real aworld objects or spaces virtually. Here's how it works: A model utilizes a 2D video with multiple angles of an object or scene. I selects frames from different viewpoints to understand depth, size, and shape. The AI creates an initial 3D representation, similar to a sculptor shaping a subject. The render is optimized to enhance details, like a sculptor refining texture. The outcome is a 3D object or scene suitable for virtual reality, digital twins, or robotics.show more

What if anatomy explorers felt alive? This 3D dog,... including the skeleton, organs and rig, was generated with ai and reacts to the cursor in real time with head tracking and tail movement. - Used GPT Images 2 for consistency - Omma AI for 3D generation and code using Three.js Lmk if you’d like to try it!show more

🚨ROBINHOOD IS NOW OPEN TO AI AGENTS! Robinhood launched... agentic accounts, allowing users to connect AI agents to research markets, build portfolios, and execute trades on equities and options (crypto coming soon). Every order routes through your real brokerage account with push notifications and real-time P&L tracking for full oversight.show more

i made four sport app prototypes this week, using... roboflow rapid + SAM3 + python these ideas could be taken further to make $$$ example: SportRadar is a company that sells analytics to sports leagues and betting firms, with a market cap of $6 billion (!!) a few ideas - for coaches: automated analysis of trainings, tracking stats by player, scouting to prepare for future opponents - for players: compare your form against pros to improve your technique - for amateur leagues: turn hour-long full match footage into automated video reel highlights - for broadcasters: better visuals and stats during live events - for betting / prediction markets: real-time analysis of player performance to predict resultsshow more

Robots can now reconstruct 3D scenes in real time... from a single RGB camera. [📍 Projects page + paper] No depth sensor. No retraining. 30 FPS. Researchers at the Imperial College London introduced KV-Tracker, a training-free method that makes heavy models like π³ and Depth Anything 3 fast enough for real-time tracking. The idea is simple. These models use global self-attention, which is powerful but computationally expensive. KV-Tracker caches the key and value pairs from selected keyframes and reuses them for new frames. That cache becomes an implicit scene representation. Result: • Up to 30 FPS • 10 to 15x speedup • Accurate 6-DoF tracking on benchmarks like TUM RGB-D and 7-Scenes • Works with monocular RGB only It also supports object-level tracking with masks and allows saving the KV-cache for later reuse. For robotics, this reduces hardware constraints and moves real-time 3D perception closer to practical deployment. Credit to Marwan Taher (Marwan Taher) at Imperial’s Dyson Robotics Lab and many others who contributed to this! 📍 Save projects page + paper for later: Video: ——- if it matters in AI or Robotics you'll read it here first:show more

You can actually interact with the world simulator directly... in the browser. 🤖 Here is a quick screen recording (8x speed) of me playing with it: real-time action-conditioned video prediction across rigid objects, deformable objects, rope, and object piles. Try it yourself (no install required): Huge kudos to my student Yixuan Wang for making the interactive demo happen!show more

AI that watches your work! 👀 Codya built AI... that watches assembly lines and verifies every step got done right. Engine being assembled, bolt by bolt. The model tracks each one, inserted vs fastened. Standard computer vision would struggle here. It's about occlusion. A worker's hands constantly cover the bolts during assembly. Hand moves in, bolt disappears. Hand moves away, bolt reappears. Without smart tracking, the model forgets which bolt is which every time it's hidden. They solved it with BoT-SORT, a tracking algorithm that keeps object identity through occlusions. When a hand covers a bolt and moves away, the tracker knows it's still the same bolt, same state, same position. SkalskiP looking forward to see more and more industrial use cases with your Roboflow models :) ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →show more

Introducing Attio Objects 🚀 ​ We know how hard... it is to find a CRM that fits your unique business model. ​ That's why we built Attio Objects – our powerful data model with custom objects that gives you complete flexibility to structure your CRM exactly how you need it. ​ Along with custom objects, we've also introduced new standard objects: ​ - Workspaces and Users objects for PLG businesses. - A robust Deals object for sales-driven companies. ​ This is the culmination of a 4-year effort, with 3 years of work put in even before launching Attio. ​ Since day one, we've been determined to solve the fundamental problem in the CRM space: the trade-off between power and time-to-value. ​ If you wanted power and flexibility, your CRM would take forever to build and not work well with your stack. ​ If you wanted speed, you'd need to use highly opinionated, inflexible software that doesn't really work for your business. ​ That ends today. With Attio, you no longer have to compromise. Build your CRM your way, fast. Iterate as you grow. ​ High-growth startups like Replicate, , and Modal and more are already using Attio's object architecture to perfectly match their businesses and accelerate their growth. ​ To get all the details, check out our blog post 👇 ​show more

If you actually want to start making money wallet... tracking, you need to be using a good wallet tracker. Most platforms have wallet alerts, but they don’t have a clean Monitor feature. That one difference changes the game completely — here’s why.. Once you take tracking seriously, you’ll build a massive list of wallets fast. A lot of good insiders farm here and there, but the real signal is when multiple strong wallets ape the same token with size. That’s not something you catch with basic alerts. You catch it when you can see wallets stacking in real time. The easiest way to spot this is with a clean wallet monitor. A perfect example is GMGN’s Wallet Monitor That’s where the edge is. Here's my link to try it out yourself:show more