{
 "id": "KeenForgeAI/PV_Multi_Defect-corrected",
 "owner": "KeenForgeAI",
 "name": "PV_Multi_Defect-corrected",
 "downloads": 477,
 "likes": 1,
 "last_modified": "2026-10-13T07:52:20.000Z",
 "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{li2023gbh,\n  title   = {GBH-YOLOv5: Ghost Convolution with BottleneckCSP and Tiny Target\n             Prediction Head Incorporating YOLOv5 for PV Panel Defect Detection},\n  author  = {Li, Longlong and Wang, Zhifeng and Zhang, Tingting},\n  journal = {Electronics},\n  volume  = {12},\n  number  = {3},\n  pages   = {561},\n  year    = {2023},\n  publisher = {MDPI},\n  doi     = {10.3390/electronics12030561}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "6ebe119cdb1646526a454ad639f5f11a919e745d",
 "stated_evidence": "https://huggingface.co/datasets/KeenForgeAI/PV_Multi_Defect-corrected/blob/6ebe119cdb1646526a454ad639f5f11a919e745d/README.md",
 "file_evidence": "https://huggingface.co/datasets/KeenForgeAI/PV_Multi_Defect-corrected/blob/6ebe119cdb1646526a454ad639f5f11a919e745d/LICENSE",
 "card_nc": false
}