{
 "id": "sebnae/IndoorCrowd",
 "owner": "sebnae",
 "name": "IndoorCrowd",
 "downloads": 143,
 "likes": 7,
 "last_modified": "2026-05-15T09:46:18.000Z",
 "stated_licence": "fair-noncommercial-research-license",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "object-detection",
  "image-segmentation"
 ],
 "citation": "@article{nae2026indoorcrowd,\n  title   = {IndoorCrowd: A Multi-Scene Dataset for Human Detection, Segmentation, and Tracking with an Automated Annotation Pipeline},\n  author  = {Nae, Sebastian-Ion and Moldoveanu, Radu and Ghita, Alexandra Stefania and Florea, Adina Magda},\n  journal = {arXiv preprint arXiv:2604.02032},\n  year    = {2026},\n  url     = {https://arxiv.org/abs/2604.02032}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "87049647f27c4419dcba051474dcfc0fcecad8e0",
 "stated_evidence": "https://huggingface.co/datasets/sebnae/IndoorCrowd/blob/87049647f27c4419dcba051474dcfc0fcecad8e0/README.md",
 "file_evidence": "https://huggingface.co/datasets/sebnae/IndoorCrowd/tree/87049647f27c4419dcba051474dcfc0fcecad8e0",
 "card_nc": false
}