augmented-stacking-dataset
Dataset of stone files for augmented stacking project.
Science Score: 49.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
✓DOI references
Found 3 DOI reference(s) in README -
✓Academic publication links
Links to: zenodo.org -
○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (6.8%) to scientific vocabulary
Keywords
Repository
Dataset of stone files for augmented stacking project.
Basic Info
- Host: GitHub
- Owner: ibois-epfl
- License: mit
- Language: Python
- Default Branch: main
- Homepage: https://github.com/ibois-epfl/augmented-stacking
- Size: 604 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 2
Topics
Metadata Files
README.md
Stones dataset for augmented-stacking
The stone dataset is composed of mineral scraps issued from quarry extraction operations. The inventory has been developed for the augmented stacking project.
Stones are stored in .ply in both mesh and point cloud format.
For more info contact andrea.settimi@epfl.ch
Structure of the repo:
bash
.
img
*.png
README.md
stones
mesh_high_res
remeshed_high_res_A0.ply
remeshed_high_res_A10.ply
...
remeshed_high_res_E56.ply
pcd_high_res
pcd_high_res_A0.ply
pcd_high_res_A10.ply
...
pcd_high_res_E56.ply
util
*.py
The dataset is distributed under a MIT license: feel free to use it and cite it in your own research work. Here's the BibTeX snippet: https://github.com/ibois-epfl/augmented-stacking-dataset/blob/e1e3865443f1be0f47d5781fee31218fe56ce105/CITATION.cff#L1-L9
Owner
- Name: Laboratory for Timber Constructions IBOIS, EPFL
- Login: ibois-epfl
- Kind: organization
- Location: Switzerland
- Repositories: 10
- Profile: https://github.com/ibois-epfl