Take a peek behind the curtain on how we're labeling multi-sensor data for robotics and autonomous vehicles 🤖. Labeling 3D and 2D in a single interface.
https://t.co/pqLhhF9L05
#Robotics#AutonomousDriving#MachineLearning
Robotics companies (Dexterity, Pickle, Kodiak, Kiwibot) have shifted away from Scale AI for their data labels, to newer software providers (Segments, Encord, Kognic)
5 trends in robotics help explain the shift 🧵
🚀 https://t.co/jDpzCxi6VM is heading to #CES 2025!
Planning to attend? Let us know—we’d love to meet up! We're ready to connect and discuss the latest in data annotation and machine learning workflows.
#CES2025#AI#DataAnnotation#MachineLearning#ComputerVision
Meet Tom Roussel, our Machine Learning Engineer who joined us last summer! 🚀 Learn more about his journey, from Ford over Flanders Make to https://t.co/jDpzCxi6VM 👇
https://t.co/ZXXVgR3z85
#MachineLearning#ComputerVision#DataAnnotation#AI
*Multi-Sensor Data Labeling & Calibration*
Startups like @SegmentsAI, Sama and @scale_AI are revolutionising how robots understand sensor data. While @deepenai and @TangramVision are simplifying sensor calibration.
Huge shoutout to @SegmentsAI for this game-changing plugin! 🚀
You can now request and review annotations directly in FiftyOne—no more jumping between tools!
That means better datasets + faster iteration cycles. 🔥
Check it out. https://t.co/IjRF5F7Qdg
#AI#ComputerVision
"Every camera on every vehicle in Germany was broken. Every. Single. Camera.". @lasermatts from @BucketRobotics shares his challenges in autonomous systems from his time at Argo AI. "Unpredictability is the norm in robotics." #Robotics#AutonomousVehicles https://t.co/YBeECFITnq
I feel like the robotics space has really been heating up recently, and part of this acceleration is because more mature tools are emerging. I've made a little market map to highlight some of the best tools for robotics developers. Which ones did I miss?
🚀 Excited to announce our webinar on Annotation Best Practices!
Join Otto from @SegmentsAI and Tess from @humansintheloop on Feb 29 for insights on collaboration, quality assurance, provider selection, and contributions to ethical AI.
Register here: https://t.co/qCPIek0TvJ
With 150+ universities across 40+ countries, we collaborate with students & researchers worldwide to solve the hardest computer vision problems. https://t.co/jDpzCxhz6e is 100% free for academic use.
👉 https://t.co/IIQYh9b4s4
#ComputerVision#MachineLearning#AcademicResearch
Are you considering building internal data labeling software? 🛠️ @jclaessens97 shares his experience building an in-house data labeling platform, from initial considerations to technical challenges and strategic decisions.
https://t.co/IYmO6wBXlH
#MachineLearning#DataLabeling
On land, at sea, and in the air 👋 Meet Jeroen, software engineer at https://t.co/jDpzCxhz6e, with a diverse background in data labeling tooling and experience in various domains such as shipping, mobility, and drones.
👉 https://t.co/FNKrf31Uzo
#DataLabeling#ComputerVision
Mark Hafner joined our team last month as Senior Account Executive 🥳 Mark brings a rich background in tech sales and a passion for the dynamic world of robotics and autonomous vehicles.
More on Mark > https://t.co/7v0X8cd99z
#SegmentsAI#DataLabeling#Sales#SaaS
📢 Shout-out to @TangramVision and their Kickstarter campaign. We've joined the journey and backed their HiFi 3D Sensor.
Interested? Early backers get a special discount; the anticipated shipping date is April next year. https://t.co/lkfnVhI0M3
#Robots#ComputerVision
Can computer vision help restore ancient frescoes?
A @CaFoscari team used https://t.co/jDpzCxhz6e to understand & clean fresco fragments from Pompeii > https://t.co/DXpa4aSQZJ
Get your free academic licenses https://t.co/jDpzCxhz6e.
#ComputerVision#Heritage#DataLabeling
💪 The improved multi-sensor interface now gives even better context for labeling 3D point clouds, including a synchronized image viewer and a more intuitive image viewer with 3D overlays.
👉 https://t.co/TjMn6H07Fi
#datalabeling#computervision#machinelearning#sensorfusion
We've just launched the new 3D Point Cloud labeling interface.
🎬 See what this new interface can do for you. It's faster and more accurate, making object annotation easier across sensors.
#computervision#machinelearning#datalabeling