Datasets:

idsia-robotics
/

micro-kitti

ArXiv:

Dataset Viewer

The dataset viewer is not available for this subset.

Cannot get the split names for the config 'default' of the dataset.

Exception:    SplitsNotFoundError
Message:      The split names could not be parsed from the dataset config.
Traceback:    Traceback (most recent call last):
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 289, in get_dataset_config_info
                  for split_generator in builder._split_generators(
                                         ^^^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/webdataset/webdataset.py", line 83, in _split_generators
                  raise ValueError(
              ValueError: The TAR archives of the dataset should be in WebDataset format, but the files in the archive don't share the same prefix or the same types.
              
              The above exception was the direct cause of the following exception:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
                  for split in get_dataset_split_names(
                               ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 343, in get_dataset_split_names
                  info = get_dataset_config_info(
                         ^^^^^^^^^^^^^^^^^^^^^^^^
                File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 294, in get_dataset_config_info
                  raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
              datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Mini-KITTI: a 48x48 dataset for tiny Monocular Depth Estimation

Dataset

This dataset scales down to 48x48 resolution the Eigen split of the KITTI dataset. It contains:

A training split of 22600 images in 48x48 resolution
A validation split of 888 images in 48x48 resolution
A test split of 697 images in 48x48 resolution

All images are annotated with 48x48 depth and disparity maps obtained with the stereo-matching SGM algorithm. For every image, also a 360x360 centered portion of the original ground truth is provided, matching the same field of view of the respective image. If a 48x48 depth prediction related to a 48x48-sized image is upscaled to 360x360 resolution, these ground truth portions can be used to compute the prediction accuracy.

Usage

To use the dataset, simply:

tar -xzvf kitti_48x48.tar.gz -C ./

Then, you can find the dataset under "kitti_48x48/".

License

This dataset is derived from KITTI, and therefore released under CC-BY-NC-SA-3.0 license.

Citation

If you use this dataset, please cite:

@article{nadalini2025multi,
  title={Multi-modal On-Device Learning for Monocular Depth Estimation on Ultra-low-power MCUs},
  author={Nadalini, Davide and Rusci, Manuele and Cereda, Elia and Benini, Luca and Conti, Francesco and Palossi, Daniele},
  journal={arXiv preprint arXiv:2512.00086},
  year={2025}
}

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