Voxel51

💡 🎤 🔥 Recording this Chinstrap Community fireside chat was a blast. Somehow over the course of an hour we covered many fun and interesting topics 🎤 Why and how Voxel51 is an open-source first company 🎤 What it was like spinning out a company from University of Michigan College of Engineering 🎤 What is was like funding the company via a grant vs VC funding 🎤 How to build grassroots communities around an open-source startup I'm all in on what Chinstrap is trying to achieve: create a community at the intersection of open source enthusiasts and tech entrepreneurs. Nice work team! Full video on YouTube: https://lnkd.in/eK9_ijxD Here's the Chinstrap post: https://lnkd.in/edfryZmt

Join us on Jan 14 for the Best of NeurIPS 2025 virtual event. Register for the Zoom: https://lnkd.in/d48hvUHw Talks will include: * EgoExOR: An Ego-Exo-Centric Operating Room Dataset for Surgical Activity Understanding - Ege Özsoy at Technical University of Munich * SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation - Claudia Cuttano at Politecnico di Torino * Nested Learning: The Illusion of Deep Learning Architectures - Ali Behrouz Google / Cornell University * Are VLM Explanations Faithful? A Counterfactual Testing Approach - Santosh V. at Mercedes Benz Research and Development North America *********** Want to build better computer vision models? FiftyOne is an open source toolkit from Voxel51 (our Meetup sponsor) that helps you curate datasets, evaluate model performance, visualize embeddings, catch annotation errors, and eliminate duplicate images—all in one place. “pip install fiftyone” is all it takes to get started - https://docs.voxel51.com/ #computervision #ai #artificialintelligence #machinevision #machinelearning

Voxel51 and Foretellix are partnering to solve one of the biggest challenges in AI-powered AV development: turning real-world drive logs into high-fidelity training and validation data at scale. As AV stacks move toward end-to-end architectures, teams need massive amounts of diverse, high-quality data. But real-world drives rarely capture the edge cases you need, making simulations essential. Yet poor input data creates flawed reconstructions that waste weeks of engineering time and millions in compute costs. With Voxel51's data auditing technology integrated into Foretellix's Physical AI Toolchain, teams can now seamlessly transform real-world drive logs into high-fidelity NVIDIA Omniverse 3D reconstructions and simulations. Engineering teams can scale AV development with confidence, knowing every reconstruction is built on verified, high-quality data. Read the full announcement: https://lnkd.in/eAXV9zpn

𝐀𝐧𝐧𝐨𝐮𝐧𝐜𝐞𝐦𝐞𝐧𝐭: 𝐅𝐨𝐫𝐞𝐭𝐞𝐥𝐥𝐢𝐱 𝐚𝐧𝐝 𝐕𝐨𝐱𝐞𝐥𝟓𝟏 𝐏𝐚𝐫𝐭𝐧𝐞𝐫 𝐭𝐨 𝐭𝐫𝐚𝐧𝐬𝐟𝐨𝐫𝐦 𝐀𝐈-𝐩𝐨𝐰𝐞𝐫𝐞𝐝 𝐀𝐕 𝐝𝐞𝐯𝐞𝐥𝐨𝐩𝐦𝐞𝐧𝐭.🚀 As the autonomous vehicle industry shifts toward end-to-end architectures, the bottleneck is not just data volume but data quality and diversity. By integrating Voxel51's data auditing technology into the Foretellix Physical AI Toolchain we enable engineering teams to turn raw drive logs into high-fidelity, variation-rich simulation datasets. This integration brings scalable 3D neural reconstruction directly into the Foretellix Foretify ecosystem. Ensure your AV development pipelines start with pristine data and end with comprehensive safety/ODD coverage. Read the full announcement: https://lnkd.in/dSJgezMW #PhysicalAI #AutonomousVehicles #ADAS #AV

Huge thank you to everyone who joined us for the #NeurIPS2025 Multimodal AI Meetup with our co-hosts at NVIDIA, Databricks, and Together AI. 🥂 It was one of those rare evenings where researchers, engineers, and builders from every corner of the multimodal ecosystem came together, and every conversation kept circling back to the same thing: 💡Good data is the foundation of good models. Hearing this echoed from so many industry leaders was energizing and a clear signal of where the field is heading. If you're working on visual AI and want to explore how data quality impacts your models, learn more: https://lnkd.in/g3Js2fu4

Solve data scarcity issue with FiftyOne and NVIDIA AI Cosmos Transfer 2.5 🦋 When your training data doesn’t match deployment conditions, your model fails in production. This is especially critical for rare or underrepresented classes where you can't afford to collect thousands of new samples. For example, moths are the rarest class in BioTrove, a biodiversity image dataset, with most images captured indoors instead of real field conditions. Models trained on this data won't recognize moths in actual crop fields where lighting, backgrounds, and context differ completely. This lab-to-field domain gap kills model performance. That’s where FiftyOne and NVIDIA Cosmos Transfer 2.5 integration comes in: 🔎Identify the issue: Use FiftyOne's semantic search to visualize class imbalance and confirm domain shift in seconds ⚡Generate realistic variations: Cosmos Transfer 2.5 preserves moth identity while transforming backgrounds into photorealistic field scenes with crops, soil, and natural lighting 🔄Curate at scale: Group original and generated images side-by-side in FiftyOne to filter out failures and build a clean dataset With this workflow, you can turn scarce, unrealistic data into balanced, diverse, training sets that match the deployment conditions, improving model performance. Try it now: https://lnkd.in/e_uZK6aB

If you're building autonomous vehicles, you already know the pressure: teams need high-fidelity simulations to get to safe real-world deployment. I'll be at #TechADUSA next week with the Voxel51 team discussing how to solve data quality bottlenecks and get AV systems to production faster. Would love to connect if you're attending. Our own Daniel Gural is presenting Monday, 12/8 at 8:50 AM, diving deeper into the data quality issues plaguing simulation pipelines—and how Voxel51 and NVIDIA are unlocking high-fidelity AV simulations and neural reconstructions with the FiftyOne Physical AI Workbench. If you're there, stop by and let's talk about what's blocking your path to deployment. Learn more about Physical AI Workbench: https://lnkd.in/eueYN5a7

If you’re working with multimodal data for physical AI systems, this is not a session to miss: ttps://lnkd.in/dsy7Fn4n

Solve data scarcity issue with FiftyOne and NVIDIA Cosmos Transfer 2.5. Try it now: https://lnkd.in/e_uZK6aB

Join our virtual meetup en Español on Feb 12 to hear talks from experts on cutting-edge topics across AI, ML, and computer vision. Register here: https://lnkd.in/g_9qkJdg Talks will include: • AI On-Device: Potencia + Privacidad - Eury Pérez Beltré, Google Developer Expert • The magic of video generation! (Spanish) - Cristian Bietti at Globant • Digital Twins: Building High-Fidelity Virtual Worlds from Real-World Data - Rubén Bernardino at Dronícola • A Practical Pipeline for Synthetic Data with Nano Banana Pro + FiftyOne - AdonAI Vera at Voxel51 #computervision #ai #artificialintelligence #machinevision #machinelearning #datascience