Show HN: A Layer for robotics dataset quality

Show HN: A Layer for robotics dataset quality(calibrarobotics.com)

5 points by omertt27 41 days ago | 5 comments

We are exploring how teams can automatically audit data quality, detect problematic demonstrations, and build smaller, high-quality training sets before spending GPU time.

We are looking for design partners to help shape the Calibra.

ikaru2lt 41 days ago |

It's really impressive to see the quality of the datasets again; in most AIs, a bad dataset means that nothing works.

ikaru2lt 41 days ago | |

But how do you make it better for the GPU if the size is too large?

omertt27 40 days ago | | |

Thanks for the answer.We are approaching this with reducing unnecessary data rather than making the GPU handle more.So it analyzes quality, coverage, and redundancy to identify a smaller subset of demonstrations to use less data and compute costs.

lolololomoro 41 days ago |

How do you measure them ?

omertt27 41 days ago | |

you can check our repo : https://github.com/omertt27/Calibra