NVIDIA's Cosmos Predict-2 Turns 20,000 Hours of Dashcam into AV Goldmines
Imagine feeding a dashcam clip into AI and spitting out perfect multi-angle videos for self-driving car training. NVIDIA's Cosmos Predict-2 does just that, post-trained on 20,000 hours of real roads.
⚡ Key Takeaways
- Cosmos Predict-2, post-trained on 20,000 hours of data, generates multi-view videos from dashcams to supercharge AV training.
- Tools like Cosmos Transfer and NuRec Fixer integrate with CARLA, enabling 150,000 developers to create endless synthetic scenarios.
- NVIDIA's ecosystem push predicts faster AV commercialization, mirroring flight sim revolutions in aviation.
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Originally reported by NVIDIA Deep Learning Blog
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