{
 "id": "grano1/core_sample_image_data",
 "owner": "grano1",
 "name": "core_sample_image_data",
 "downloads": 75,
 "likes": 1,
 "last_modified": "2025-11-24T22:42:48.000Z",
 "stated_licence": "mit",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification"
 ],
 "citation": "If you use this dataset, please cite:\n\n```bibtex\n@inproceedings{Granitzer.2025,\n author = {Granitzer, Andreas-Nizar and Beck, Johannes and Leo, Johannes and Tschuchnigg, Franz},\n title = {Explainable Insight into the Vision-Based Classification of Soil Core Samples from Close-Range Images},\n pages = {228--233},\n editor = {Uzielli, Marco and Phoon, Kok-Kwang},\n booktitle = {Proceedings of the 3rd Workshop on the Future of Machine Learning in Geotechnics (3FOMLIG)},\n year = {2025},\n address = {Florence, Italy}\n}",
 "signal": "permissive",
 "reason": "The declared licence (mit) is classified as permissive.",
 "revision": "651326ddda21186d46b10a999c4772ec2109ebe9",
 "stated_evidence": "https://huggingface.co/datasets/grano1/core_sample_image_data/blob/651326ddda21186d46b10a999c4772ec2109ebe9/README.md",
 "file_evidence": "https://huggingface.co/datasets/grano1/core_sample_image_data/tree/651326ddda21186d46b10a999c4772ec2109ebe9",
 "card_nc": false
}