{
 "id": "lmb-freiburg/entitynet",
 "owner": "lmb-freiburg",
 "name": "entitynet",
 "downloads": 78,
 "likes": 0,
 "last_modified": "2026-09-23T15:49:41.000Z",
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 "gated": false,
 "tasks": [
  "zero-shot-image-classification",
  "image-classification",
  "image-to-text",
  "text-to-image"
 ],
 "citation": "@inproceedings{ging2026entitynet,\n  author    = {Simon Ging and Sebastian Walter and Jelena Bratuli{\\'c} and Johannes Dienert and Hannah Bast and Thomas Brox},\n  title     = {Using Knowledge Graphs to Harvest Datasets for Efficient {CLIP} Model Training},\n  booktitle = {Pattern Recognition, 47th {DAGM} German Conference, {DAGM} {GCPR} 2025, Freiburg, Germany, September 23--26, 2025, Proceedings},\n  series    = {Lecture Notes in Computer Science},\n  publisher = {Springer Nature Switzerland},\n  year      = {2026},\n  pages     = {287--302},\n  isbn      = {978-3-032-12840-9},\n  doi       = {10.1007/978-3-032-12840-9_19}\n}",
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 "reason": "The declared licence (mit) is classified as permissive.",
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