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pascal-context

Set of additional annotations for PASCAL VOC 2010. It goes beyond the original PASCAL semantic segmentation task by providing annotations for the whole scene.

https://github.com/dataset-ninja/pascal-context

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
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    DOI references
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    Academic publication links
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.8%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Set of additional annotations for PASCAL VOC 2010. It goes beyond the original PASCAL semantic segmentation task by providing annotations for the whole scene.

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 116 MB
Statistics
  • Stars: 0
  • 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

PASCAL Context Dataset

PASCAL Context is a dataset for semantic segmentation task.

Owner

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

Citation (CITATION.md) 

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

``` bibtex
@InProceedings{mottaghi_cvpr14,
  author       = {Roozbeh Mottaghi and Xianjie Chen and Xiaobai Liu and Nam-Gyu Cho and Seong-Whan Lee and Sanja Fidler and Raquel Urtasun and Alan Yuille},
  title        = {The Role of Context for Object Detection and Semantic Segmentation in the Wild},
  booktitle    = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
  year         = {2014},
}

```

[Source](https://www.cs.stanford.edu/~roozbeh/pascal-context/mottaghi_et_al_cvpr14.bib)

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Dependencies

requirements.txt pypi