Hugging Face's logo

Datasets:
LukasDb
/
dropjects

Tasks:
Zero-Shot Classification
Object Detection
Depth Estimation
Dataset card Files
xet
 Community
Dataset Viewer
The dataset viewer is not available for this dataset.
Cannot get the config names for the dataset.
Error code:   ConfigNamesError
Exception:    RuntimeError
Message:      Dataset scripts are no longer supported, but found dropjects.py
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/dataset/config_names.py", line 67, in compute_config_names_response
                  config_names = get_dataset_config_names(
                      path=dataset,
                      token=hf_token,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/inspect.py", line 161, in get_dataset_config_names
                  dataset_module = dataset_module_factory(
                      path,
                  ...<4 lines>...
                      **download_kwargs,
                  )
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1182, in dataset_module_factory
                  raise e1 from None
                File "/usr/local/lib/python3.14/site-packages/datasets/load.py", line 1142, in dataset_module_factory
                  raise RuntimeError(f"Dataset scripts are no longer supported, but found {filename}")
              RuntimeError: Dataset scripts are no longer supported, but found dropjects.py

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.

Dataset Card for Dropjects

Dropjects is a synthetic stereo RGB-D object dataset, created at the Chair of Cyber-Physical Systems in Production Engineering at the Technical University of Munich. It contains pose, bounding box, and segmentation masks for different sets of objects.

Dataset Details

Subsets

You can choose subsets with different sets of objects. Currently, there are the following subsets/object sets:

Then you can load the dataset like this, for example all lighting conditions for the stapler in the box, with clutter

from datasets import load_dataset

ds = load_dataset("LukasDb/dropjects", "omni", streaming=True, trust_remote_code=True, split='train')
for data in ds.with_format('tensorflow'):
    rgb = data['rgb'] # tf.uint8 Tensor, (h,w,3)

Dataset Sources

  • Repository: TBA
  • Paper: TBA

Dataset Structure

TBA

Citation

BibTeX:

@INPROCEEDINGS{11749833,
  author={Dirnberger, Lukas and Roser, Johannes and Bernardini, Daniele and Piazza, Cristina and Caccamo, Marco},
  booktitle={2026 10th International Conference on Robotics, Control and Automation (ICRCA)}, 
  title={Dropjects: Large-Scale Stereo Vision Dataset for Zero-Shot Learning}, 
  year={2026},
  volume={},
  number={},
  pages={233-238},
  keywords={Modeling;Printing;Pose estimation;Training;Cameras;Labeling;Distance measurement;Conferences;Lighting;Computer vision;6D Pose Estimation;Computer Vision;Object Detection;Object Recognition;Stereo Vision},
  doi={10.1109/ICRCA69813.2026.11749833}}

Dataset Card Authors and Contact

Lukas Dirnberger (lukas.dirnberger@tum.de)
Downloads last month
1,860
Curated by:
lukas.dirnberger@tum.de
License:
CC
Total file size:
5.95 TB