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Hey there! Dan Gural here from Voxel51, and I recently gave an in-person workshop on How to Unlock More in Self-Driving Datasets. I’m super excited to dive into this with you today and bring it to everyone! I highly recommend checking out my video where I dive into detail about the workshop, and to check out the GitHub repo where all the materials are stored.
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Hardware isn’t the only area seeing leaps forward. Open-source libraries have become much better too. A few years ago, setting up tools like PyTorch 3D was a nightmare. Today, it takes hours, not days, thanks to optimization and community support. These advancements have streamlined workflows and allowed for faster experimentation.
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But the challenge lies in organizing and managing this unstructured data. That’s where tools like FiftyOne, Voxel 51’s open-source dataset management tool, come in.
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With tools like DriveStudio and Gaussian Splats, researchers are building 3D environments where they can simulate real-world driving conditions without actually being on the road. This opens up a whole new world of possibilities for testing, validating, and improving self-driving models in a fraction of the time.