Gen4AutomotiveDetectionMini#

class tonic.prototype.datasets.Gen4AutomotiveDetectionMini(root: PathLike, split: str = 'train', shuffle: bool = False, skip_sha256_check: Optional[bool] = True)[source]#

Gen4 Automotive Detection

This datasets needs ‘expelliarmus’ installed on the system. Events have “txyp” ordering.:

@article{de2020large,
  title={A large scale event-based detection dataset for automotive},
  author={De Tournemire, Pierre and Nitti, Davide and Perot, Etienne and Migliore, Davide and Sironi, Amos},
  journal={arXiv preprint arXiv:2001.08499},
  year={2020}
}

Note

The hosting server is very flaky and often interrupts the download before it is completed. If you end up with anything smaller than 23GB on disk, delete and try again.

Parameters:

  • root (string) – Location to decompressed archive.

  • split (str) – Can be ‘train’ (default), ‘valid’ or ‘test’.

  • shuffle (bool) – If True, the dataset will be shuffled randomly.

  • skip_sha256_check (Optional[bool]) –