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komatsuna

KOMATSUNA dataset for instance segmentation, tracking and reconstruction

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

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
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    Academic publication links
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    Academic email domains
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    Institutional organization owner
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    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (0.7%) to scientific vocabulary
Last synced: 10 months ago · JSON representation ·

Repository

KOMATSUNA dataset for instance segmentation, tracking and reconstruction

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 4.5 MB
Statistics
  • Stars: 2
  • Watchers: 1
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created almost 3 years ago · Last pushed 10 months ago
Metadata Files
Readme License Citation

README.md

KOMATSUNA Dataset for Instance Segmentation, Tracking and Reconstruction

KOMATSUNA is a dataset for instance segmentation, semantic segmentation, object detection, and monocular depth estimation tasks.

Owner

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

Citation (CITATION.md) 

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

``` bibtex
@InProceedings{Uchiyama_2017_ICCV_Workshops,
  author = {Uchiyama, Hideaki and Sakurai, Shunsuke and Mishima, Masashi and Arita, Daisaku and Okayasu, Takashi and Shimada, Atsushi and Taniguchi, Rin-ichiro},
  title = {An Easy-To-Setup 3D Phenotyping Platform for KOMATSUNA Dataset},
  booktitle = {Proceedings of the IEEE International Conference on Computer Vision (ICCV) Workshops},
  month = {Oct},
  year = {2017}
}
```

[Source](https://openaccess.thecvf.com/ICCV2017_workshops/ICCV2017_W29)

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Dependencies

requirements.txt pypi