substation-equipment

A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models

https://github.com/dataset-ninja/substation-equipment

Science Score: 31.0%

This score indicates how likely this project is to be science-related based on various indicators:

✓
CITATION.cff file
Found CITATION.cff file
✓
codemeta.json file
Found codemeta.json file
○
.zenodo.json file
○
DOI references
○
Academic publication links
○
Academic email domains
○
Institutional organization owner
○
JOSS paper metadata
○
Scientific vocabulary similarity
Low similarity (1.2%) to scientific vocabulary

Last synced: 10 months ago · JSON representation ·

Repository

A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment to Train Semantic Segmentation Models

Basic Info

Host: GitHub
Owner: dataset-ninja
License: other
Language: Python
Default Branch: main
Size: 25.7 MB

Statistics

Stars: 1
Watchers: 2
Forks: 0
Open Issues: 0
Releases: 0

Created almost 3 years ago · Last pushed over 1 year ago

Metadata Files

Readme License Citation

README.md

A Semantically Annotated 15-Class Ground Truth Dataset for Substation Equipment

Substation Equipment is a dataset for instance segmentation, object detection, semantic segmentation, and weakly-supervised learning tasks.

Owner

Name: dataset-ninja
Login: dataset-ninja
Kind: organization

Repositories: 1
Profile: https://github.com/dataset-ninja

Citation (CITATION.md)

If you make use of the Substation Equipment data, please cite the following reference:

``` bibTex
@dataset{gomes_andreas_2023_7884270,
  author       = {Gomes, Andreas},
  title        = {{A Semantically Annotated 15-Class Ground Truth 
                   Dataset for Substation Equipment}},
  month        = may,
  year         = 2023,
  publisher    = {Zenodo},
  version      = {1.0},
  doi          = {10.5281/zenodo.7884270},
  url          = {https://doi.org/10.5281/zenodo.7884270}
}
```

[Source](https://zenodo.org/record/7884270)

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Open Source Science