Description
Build diverse, training-ready datasets for physical AI with just two prompts using NVIDIA Cosmos Data Factory skills and blueprints. See how one prompt sets up your environment and another runs your chosen data workflow. Join NVIDIA, Voxel51, and Encord to explore how data curation, augmentation, generation, and labeling can expand training coverage for autonomous driving, robotics and vision AI agents.
Voxel51 will share how Porsche curates and augments autonomous vehicle data powered by NVIDIA Cosmos Data Factory. Encord will walk you through its work with ANYbotics on synthetic data for anomaly detection in robotic inspection also powered by Cosmos Data Factory.
What You'll Learn:
- Set up and run a Cosmos Data Factory blueprint
- Augment existing data and generate scarce training examples.
- Explore customer use cases in autonomous driving and robotic inspection.
Have questions about how to post-train and deploy NVIDIA Cosmos 3? Drop them live — the NVIDIA team will answer them in real time.
Access more NVIDIA Cosmos developer resources and join our developer community:
📄 Read the Technical Blog → https://nvda.ws/4c6kK3R
⬇️ Download Cosmos on Hugging Face → https://huggingface.co/collections/nvidia/cosmos3
📚 Explore Models & Datasets on GitHub → https://github.com/nvidia/Cosmos
👥 Join the Cosmos Community → https://discord.com/invite/nvidiaomniverse