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TamAko783/Unified_Road_Defect_Dataset

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Unclear

The checks could not identify a recognised licence ID in the dataset's metadata.

Declared licence: other, from the tagEvidence: README.md at 7ba2309
Licence name on the card: mixed-source-attributionEvidence: README.md at 7ba2309
Licence files: No licence file at the top level of the repositoryEvidence: file list at 7ba2309
Declared sources: None listed in the card metadata
Access gated on Hugging Face: No

Each cell links to what was checked: a file, a file list or a Hub record.

Tasks

object-detection

Citation text from the card

@article{arya2022rdd2022,
  title   = {RDD2022: A multi-national image dataset for automatic road damage detection},
  author  = {Arya, Deeksha and Maeda, Hiroya and Kumar Ghosh, Sanjay and Toshniwal, Durga and Sekimoto, Yoshihide},
  journal = {Geoscience Data Journal},
  year    = {2022},
  doi     = {10.1002/gdj3.260}
}
@misc{arya2022rdd2022arxiv,
  title  = {RDD2022: A multi-national image dataset for automatic road damage detection},
  author = {Arya, Deeksha and Maeda, Hiroya and Kumar Ghosh, Sanjay and Toshniwal, Durga and Sekimoto, Yoshihide},
  year   = {2022}, eprint = {2209.08538}, archivePrefix = {arXiv}
}

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dataset_licence({ "id": "TamAko783/Unified_Road_Defect_Dataset" })
signal: "unclear"
stated_licence: "other"
sources: 0