{
 "id": "Voxel51/InsPLAD",
 "owner": "Voxel51",
 "name": "InsPLAD",
 "downloads": 34708,
 "likes": 1,
 "last_modified": "2026-08-20T12:43:02.000Z",
 "stated_licence": "cc-by-nc-3.0",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": null,
 "licence_files": [],
 "sources": [],
 "gated": false,
 "tasks": [
  "image-classification",
  "object-detection"
 ],
 "citation": "@article{doi:10.1080/01431161.2023.2283900,\n   author    = {Andr\u00e9 Luiz Buarque Vieira e Silva, Heitor de Castro Felix, Franscisco Paulo Magalh\u00e3es Sim\u00f5es, Veronica Teichrieb, Michel dos Santos, Hemir Santiago, Virginia Sgotti and Henrique Lott Neto},\n   title     = {InsPLAD: A Dataset and Benchmark for Power Line Asset Inspection in UAV Images},\n   journal   = {International Journal of Remote Sensing},\n   volume    = {44},\n   number    = {23},\n   pages     = {1-27},\n   year      = {2023},\n   publisher = {Taylor & Francis},\n   doi       = {10.1080/01431161.2023.2283900},\n   URL       = {https://doi.org/10.1080/01431161.2023.2283900},\n   eprint    = {https://doi.org/10.1080/01431161.2023.2283900},\n}\n\n@InProceedings{Vieira_2024_WACV,\n    author    = {e Silva, Andr\\'e Luiz Vieira and Sim\\~oes, Francisco and Kowerko, Danny and Schlosser, Tobias and Battisti, Felipe and Teichrieb, Veronica},\n    title     = {Attention Modules Improve Image-Level Anomaly Detection for Industrial Inspection: A DifferNet Case Study},\n    booktitle = {Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)},\n    month     = {January},\n    year      = {2024},\n    pages     = {8246-8255}\n}",
 "signal": "restrictive",
 "reason": "The declared licence (cc-by-nc-3.0) is classified as having use restrictions."
}