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Diffstat (limited to 'site/datasets/final/msceleb.json')
| -rw-r--r-- | site/datasets/final/msceleb.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/msceleb.json b/site/datasets/final/msceleb.json index 442ae94c..edaf79aa 100644 --- a/site/datasets/final/msceleb.json +++ b/site/datasets/final/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "dataset": {"key": "msceleb", "name_short": "MsCeleb", "using": "N", "ft_share": "1", "subset_of": "", "superset_of": "", "name_full": "Microsoft Celebrity Dataset", "url": "http://www.msceleb.org/", "added_on": "", "faces": "", "pdf_paper": "Y", "comments": "", "": "", "relevance": "10"}, "statistics": {"key": "msceleb", "name": "MsCeleb", "berit": "Y", "charlie": "", "adam": "", "priority": "Y", "wild": "Y", "indoor": "", "outdoor": "", "cyberspace": "Y", "names": "", "downloaded": "Y", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,000,000 ", "videos": "", "faces_unique": "100,000 ", "total_faces": "", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "fr", "source": "www", "purpose_short": "recognizing one million celebrities from their face images", "size_gb": "", "agreement": "NA", "agree_requied": "", "agreement_signed": "", "comment": "", "comment 2": "", "comment 3": "", "": ""}, "paper": {"paper_id": "291265db88023e92bb8c8e6390438e5da148e8f5", "key": "msceleb", "title": "MS-Celeb-1M: A Dataset and Benchmark for Large-Scale Face Recognition", "year": "2016", "pdf": ["https://arxiv.org/pdf/1607.08221.pdf"], "address": "", "name": "MsCeleb", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "e47e8fa44decf9adbcdb02f8a64b802fe33b29ef", "title": "Robust Distance Metric Learning via Bayesian Inference", "addresses": [{"name": "Nanjing University", "source_name": "Nanjing University", "street_adddress": "NJU, \u4e09\u6c5f\u8def, \u9f13\u697c\u533a, \u5357\u4eac\u5e02, \u6c5f\u82cf\u7701, 210093, \u4e2d\u56fd", 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