{
 "id": "KeenForgeAI/CPLID_Insulators-corrected",
 "owner": "KeenForgeAI",
 "name": "CPLID_Insulators-corrected",
 "downloads": 1685,
 "likes": 1,
 "last_modified": "2026-10-13T02:41:20.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": "see-license-file-upstream-unstated",
 "licence_link": "LICENSE",
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": false,
 "tasks": [
  "object-detection"
 ],
 "citation": "@article{tao2018detection,\n  title   = {Detection of Power Line Insulator Defects Using Aerial Images\n             Analyzed With Convolutional Neural Networks},\n  author  = {Tao, Xian and Zhang, Dapeng and Wang, Zihao and Liu, Xilong\n             and Zhang, Hongyan and Xu, De},\n  journal = {IEEE Transactions on Systems, Man, and Cybernetics: Systems},\n  year    = {2018},\n  publisher = {IEEE}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "5d5088b2ed4d7d3a93d3c5c5b0bc746ad57fdf98",
 "stated_evidence": "https://huggingface.co/datasets/KeenForgeAI/CPLID_Insulators-corrected/blob/5d5088b2ed4d7d3a93d3c5c5b0bc746ad57fdf98/README.md",
 "file_evidence": "https://huggingface.co/datasets/KeenForgeAI/CPLID_Insulators-corrected/blob/5d5088b2ed4d7d3a93d3c5c5b0bc746ad57fdf98/LICENSE",
 "card_nc": false
}