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Diffstat (limited to 'site/datasets/final/msceleb.json')
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diff --git a/site/datasets/final/msceleb.json b/site/datasets/final/msceleb.json index 28b912a9..5b77e867 100644 --- a/site/datasets/final/msceleb.json +++ b/site/datasets/final/msceleb.json @@ -1 +1 @@ -{"id": "291265db88023e92bb8c8e6390438e5da148e8f5", "dataset": {"key": "msceleb", "name_short": "MsCeleb", "name_display": "Microsoft Celeb", "name_full": "Microsoft Celebrity Dataset", "purpose": "Large-scale face recognition", "comment": "", "created_by": "Microsoft Research", "funded_by": "Microsoft Research", "funded_by_short": "Microsoft Research", "license": "", "url": "http://www.msceleb.org/", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2016", "ongoing": "", "images": "1,000,000 ", "videos": "", "identities": "100,000 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "NA", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "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": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}, "name": "MsCeleb", "doi": []}, "addresses": [{"name": "Microsoft", "source_name": "Microsoft Corporation, Redmond, WA, USA", "street_adddress": "One Microsoft Way, Redmond, WA 98052, USA", "lat": "47.64233180", "lng": "-122.13693020", "type": "company", "country": "United States"}], "additional_papers": [], "citations": [{"id": "31b05f65405534a696a847dd19c621b7b8588263", "title": "UMDFaces: An annotated face dataset for training deep networks", "addresses": [{"name": "University of Maryland", "source_name": "University of Maryland", "street_adddress": "The Grand Garage, 5, North Paca Street, Seton Hill, Baltimore, Maryland, 21201, USA", "lat": "39.28996850", "lng": "-76.62196103", "type": "edu", "country": "United States"}], "year": "2017", "pdf": [], "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8272731"]}, {"id": "9ea37d031a8f112292c0d0f8d731b837462714e9", "title": "Face Recognition: From Traditional to Deep Learning Methods", "addresses": [{"name": "University of Hertfordshire", "source_name": "Embodied Emotion, Cognition and (Inter-)Action Lab, University of Hertfordshire, United 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