{
 "id": "timm/objectnet",
 "owner": "timm",
 "name": "objectnet",
 "downloads": 578,
 "likes": 6,
 "last_modified": "2023-12-17T00:54:13.000Z",
 "stated_licence": "other",
 "stated_from": "tag",
 "licence_name": null,
 "licence_link": null,
 "file_licence": "cc-by-4.0",
 "licence_files": [
  "LICENSE"
 ],
 "sources": [],
 "gated": "auto",
 "tasks": [
  "image-classification"
 ],
 "citation": "@incollection{NIPS2019_9142,\n  title = {ObjectNet: A large-scale bias-controlled dataset for pushing the limits of object recognition models},\n  author = {Barbu, Andrei and Mayo, David and Alverio, Julian and Luo, William and Wang, Christopher and Gutfreund, Dan and Tenenbaum, Josh and Katz, Boris},\n  booktitle = {Advances in Neural Information Processing Systems 32},\n  editor = {H. Wallach and H. Larochelle and A. Beygelzimer and F. d\\textquotesingle Alch\\'{e}-Buc and E. Fox and R. Garnett},\n  pages = {9448--9458},\n  year = {2019},\n  publisher = {Curran Associates, Inc.},\n  url = {http://papers.nips.cc/paper/9142-objectnet-a-large-scale-bias-controlled-dataset-for-pushing-the-limits-of-object-recognition-models.pdf}\n}",
 "signal": "unclear",
 "reason": "The checks could not identify a recognised licence ID in the dataset's metadata.",
 "revision": "65d52be7d28249eb5cdf90a1ac18d0ced23ee952",
 "stated_evidence": "https://huggingface.co/datasets/timm/objectnet/blob/65d52be7d28249eb5cdf90a1ac18d0ced23ee952/README.md",
 "file_evidence": "https://huggingface.co/datasets/timm/objectnet/blob/65d52be7d28249eb5cdf90a1ac18d0ced23ee952/LICENSE",
 "card_nc": false
}