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Persistent Identifier
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doi:10.18419/DARUS-5047 |
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Publication Date
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2025-05-14 |
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Title
| RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo |
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Author
| Schmalfuss, Jennyhttps://ror.org/04vnq7t77ORCIDhttps://orcid.org/0000-0001-8507-927X
Oei, Victorhttps://ror.org/04vnq7t77
Mehl, Lukashttps://ror.org/04vnq7t77ORCIDhttps://orcid.org/0009-0001-0548-728X
Bartsch, Madlenhttps://ror.org/04vnq7t77
Agnihotri, Shashankhttps://ror.org/031bsb921ORCIDhttps://orcid.org/0000-0001-6097-8551
Keuper, Margrethttps://ror.org/031bsb921ORCIDhttps://orcid.org/0000-0002-8437-7993
Bruhn, Andreshttps://ror.org/04vnq7t77ORCIDhttps://orcid.org/0000-0003-0423-7411 |
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Point of Contact
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Use email button above to contact.
Bruhn, Andres (University of Stuttgart) |
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Description
| The RobustSpring dataset contains the image corruption data files for scene flow, optical flow and stereo estimation with the Spring dataset. Note that this repository contains only the Spring test data files. For easier handling, we organized them into sub-directories by image corruption type:
brightness.zip : brightness image corruption
contrast.zip : contrast image corruption
defocus_blur.zip : defocus_blur image corruption
elastic_transform.zip : elastic_transform image corruption
fog.zip : fog image corruption
frost.zip : frost image corruption
gaussian_blur.zip : gaussian_blur image corruption
gaussian_noise.zip : gaussian_noise image corruption
glass_blur.zip : glass_blur image corruption
impulse_noise.zip : impulse_noise image corruption
jpeg_compression.zip : jpeg_compression image corruption
motion_blur.zip : motion_blur image corruption
pixelate.zip : pixelate image corruption
rain.zip : rain image corruption
saturate.zip : saturate image corruption
shot_noise.zip : shot_noise image corruption
snow.zip : snow image corruption
spatter.zip : spatter image corruption
speckle_noise.zip : speckle_noise image corruption
zoom_blur.zip : zoom_blur image corruption
Each image corruption folder is internally organized as follows:
test : Indicates that this is the test proportion of the Spring dataset
0003: Scene subfolder for scene 0003, 131 frames
frame_left: Left frames
frame_left_0001.png: Frame 0001
- ...
frame_left_0131.png: Frame 0131
frame_right: Right frames
frame_right_0001.png: Frame 0001
- ...
frame_right_0131.png: Frame 0131
0019: Scene 0019, same internal structure as above, 111 frames.
0028: Scene 0028, same internal structure as above, 39 frames.
0028: Scene 0029, same internal structure as above, 135 frames.
0031: Scene 0031, same internal structure as above, 73 frames.
0034: Scene 0034, same internal structure as above, 47 frames.
0035: Scene 0035, same internal structure as above, 120 frames.
0040: Scene 0040, same internal structure as above, 111 frames.
0042: Scene 0042, same internal structure as above, 116 frames.
0046: Scene 0046, same internal structure as above, 117 frames.
File Formats:
- All images are given as .png files
For the project website see spring-benchmark.org. (2025-05-13) |
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Subject
| Computer and Information Science |
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Keyword
| Computer Vision https://www.wikidata.org/entity/Q844240 (Wikidata)
Optical Flow https://www.wikidata.org/entity/Q736111 (Wikidata)
Computer Stereo Vision https://www.wikidata.org/entity/Q5157586 (Wikidata)
Benchmark https://www.wikidata.org/entity/Q816747 (Wikidata) |
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Topic Classification
| Computer Science, Systems and Electrical Engineering (DFGFO) https://w3id.org/dfgfo/2024/44 |
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Related Publication
| Jenny Schmalfuss, Victor Oei, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andrés Bruhn: RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo. 2025 arXiv abs/2505.09368 https://arxiv.org/abs/2505.09368 |
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Project
| SFB/Transregio 161 (Level 0)
Adaptive Algorithms for Motion Estimation (Level 1) |
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Funding Information
| DFG: 251654672
DFG: 533085500
DFG: 459284860 |
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Depositor
| Schmalfuss, Jenny |
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Deposit Date
| 2025-05-13 |
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Related Dataset
| This is an extension of the Spring dataset (https://doi.org/10.18419/DARUS-3376). |
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Data Source
| The Spring movie assets (https://cloud.blender.org/spring) by Blender Foundation are licensed under CC BY 4.0. The Spring dataset (https://doi.org/10.18419/DARUS-3376 and https://spring-benchmark.org) is licensed under CC BY 4.0. |