ttpla

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

https://github.com/dataset-ninja/ttpla

Science Score: 44.0%

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
    Found .zenodo.json file
  • DOI references
  • Academic publication links
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (0.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 38.6 MB
Statistics
  • Stars: 1
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created over 2 years ago · Last pushed 7 months ago
Metadata Files
Readme License Citation

README.md

TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines

TTPLA is a dataset for instance segmentation, semantic segmentation, and object detection tasks.

Owner

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

Citation (CITATION.md)

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

```bibtex
@inproceedings{abdelfattah2020ttpla,
    title={TTPLA: An Aerial-Image Dataset for Detection and Segmentation of Transmission Towers and Power Lines},
    author={Abdelfattah, Rabab and Wang, Xiaofeng and Wang, Song},
    booktitle={Proceedings of the Asian Conference on Computer Vision},
    year={2020}
}
```

[Source](https://github.com/r3ab/ttpla_dataset#citation)

GitHub Events

Total
  • Push event: 1
Last Year
  • Push event: 1

Dependencies

requirements.txt pypi