clvos23

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning

https://github.com/dataset-ninja/clvos23

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 (1.0%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 11.4 MB
Statistics
  • Stars: 0
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 2 years ago · Last pushed about 2 years ago
Metadata Files
Readme License Citation

README.md

CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning

CLVOS23 is a dataset for semantic segmentation, object detection, and semi-supervised learning tasks.

Owner

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

Citation (CITATION.md)

If you make use of the CLVOS23 data, please cite the following reference:

``` bibtex 
@dataset{CLVOS23,
  author={Amir Nazemi and Zeyad Moustafa and Paul Fieguth},
  title={CLVOS23: A Long Video Object Segmentation Dataset for Continual Learning},
  year={2023},
  url={https://github.com/Amir4g/CLVOS23}
}
```

[Source](https://github.com/Amir4g/CLVOS23)

GitHub Events

Total
Last Year

Dependencies

requirements.txt pypi