laboro-tomato

Laboro Tomato: Instance segmentation dataset

https://github.com/dataset-ninja/laboro-tomato

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 (0.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation ·

Repository

Laboro Tomato: Instance segmentation dataset

Basic Info
  • Host: GitHub
  • Owner: dataset-ninja
  • License: other
  • Language: Python
  • Default Branch: main
  • Size: 72.2 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

LaboroTomato: Instance Segmentation Dataset

LaboroTomato 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 LaboroTomato data, please cite the following reference:

``` bibtex 
@dataset{LaboroTomato,
	author={Roman Trigubenko and hfujihara},
	title={LaboroTomato: Instance Segmentation Dataset},
	year={2020},
	url={https://github.com/laboroai/LaboroTomato#readme}
}
```

[Source](https://github.com/laboroai/LaboroTomato#readme)

GitHub Events

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Dependencies

requirements.txt pypi
  • dataset-tools ==0.0.9
  • gdown *
  • supervisely ==6.72.19