Datasets:
The dataset viewer is not available for this split.
Error code: StreamingRowsError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '/src/services/worker/d2p_dataset/statues/babies_cerny/images/100040.png'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/utils.py", line 99, in get_rows_or_raise
return get_rows(
^^^^^^^^^
File "/src/libs/libcommon/src/libcommon/utils.py", line 272, in decorator
return func(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^
File "/src/services/worker/src/worker/utils.py", line 77, in get_rows
rows_plus_one = list(itertools.islice(ds, rows_max_number + 1))
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2690, in __iter__
for key, example in ex_iterable:
^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/iterable_dataset.py", line 2228, in __iter__
batch = formatter.format_batch(pa_table)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 472, in format_batch
batch = self.python_features_decoder.decode_batch(batch)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/formatting/formatting.py", line 234, in decode_batch
return self.features.decode_batch(batch, token_per_repo_id=self.token_per_repo_id) if self.features else batch
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 2254, in decode_batch
decode_nested_example(self[column_name], value, token_per_repo_id=token_per_repo_id)
File "/usr/local/lib/python3.12/site-packages/datasets/features/features.py", line 1508, in decode_nested_example
return schema.decode_example(obj, token_per_repo_id=token_per_repo_id) if obj is not None else None
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/features/image.py", line 175, in decode_example
image = PIL.Image.open(path)
^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/PIL/Image.py", line 3431, in open
fp = builtins.open(filename, "rb")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
FileNotFoundError: [Errno 2] No such file or directory: '/src/services/worker/d2p_dataset/statues/babies_cerny/images/100040.png'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.
The D2P dataset
The D2P dataset is a dataset based on the Depth2Pose monocular depth estimation benchmark, a pose-based evaluation of MDEs without ground-truth depth. The dataset contains challenging scenes outside the distribution of common training data, together with a simple and extensible evaluation framework, presented on the github page. The scenes are divided into two categories: statues and vegetation. Undistorted images and reconstructions in standard colmap format is provided for each scene, together with a list of image pairs used for the evaluation.
paper (coming later) | github | webpage
Dataset Structure
d2p_dataset
├── statues/
│ ├── scene1/
│ │ ├── images/
│ │ │ ├── img1.png
│ │ │ ├── img2.png
│ │ │ └── ...
│ │ ├── sparse/
│ │ │ ├── cameras.txt
│ │ │ ├── frames.txt
│ │ │ ├── images.txt
│ │ │ ├── points3D.txt
│ │ │ └── rigs.txt
│ │ ├── scene1_image_list.txt
│ │ └── scene1_image_pairs.txt
│ ├── scene2/
│ │ └── ...
│ └── ...
└── vegetation/
Dataset Fields
Each scene contains:
images/: RGB imagessparse/: COLMAP reconstruction files:- camera parameters
- frames
- image poses
- 3D points
- rigs
scene1_image_list.txt: List of all images used for the benchmark, found in the images/ folderscene1_image_pairs.txt: List of all image pairs used for the benchmark, for which realtive pose is evaluated
Direct Use
Benchmarking monocular depth estimators. For the current leaderboard, see the Depth2Pose webpage
Load with 🤗 Datasets
from datasets import load_dataset
ds = load_dataset("floodgab/d2p_dataset")
print(ds["validation"][0])
Loading Example
To download the Depth2Pose dataset
from huggingface_hub import snapshot_download
path = snapshot_download("floodgab/d2p_dataset")
Citation
If you use Depth2Pose in your research or find our work helpful, please cite
@misc{depth2pose,
title={{Depth2Pose}: A Pose-Based Benchmark for Monocular Depth Estimation without Ground-Truth Depth},
author={Kocur, Viktor and Aung, Sithu and Flood, Gabrielle and Ding, Yaqing and Bujnak, Lukas and Sattler, Torsten and Kukelova, Zuzana},
year={2026},
}
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