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authorjules@lens <julescarbon@gmail.com>2019-06-27 23:34:07 +0200
committerjules@lens <julescarbon@gmail.com>2019-06-27 23:34:07 +0200
commitac29618c90adf9e64d5580c3f481e0657cf588a9 (patch)
treead20d63938d2f471fb5e749549f904cc1c5649de /site/datasets/final/facebook_100.json
parent2c7e961a43e45e2b20bc67198ed782ac54bd7c17 (diff)
dataset update
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-{"id": "9c23859ec7313f2e756a3e85575735e0c52249f4", "dataset": {"key": "facebook_100", "name_short": "Facebook100", "name_display": "Facebook100 Dataset", "name_full": "The \u201cFacebook100\u201d Dataset", "purpose": "Unconstrained Face Recognition on Facebook", "comment": "original 500 identities, 100 are making this dataset, \"Facebook100 cannot be shared due to privacy concerns\"", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "", "verify_do": "N", "verify_done": "", "cooperative": "Y", "dl_im": "N", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "N", "outdoor": "N", "campus": "", "cyberspace": "Y", "parent": "", "sources": "facebook", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2011", "ongoing": "", "images": "100 ", "videos": "", "tracklets": "", "identities": "100 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "", "male": "", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "tags": "fr", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "Y", "charlie": "", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "9c23859ec7313f2e756a3e85575735e0c52249f4", "key": "facebook_100", "title": "Scaling up biologically-inspired computer vision: A case study in unconstrained face recognition on facebook", "year": "2011", "pdf": [], "address": {"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}, "name": "Facebook100", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5981788"]}, "addresses": [{"name": "Harvard University", "source_name": "Harvard University", "street_adddress": "Harvard University, Soldiers Field Road, Allston, Boston, Suffolk County, Massachusetts, 02163, USA", "lat": "42.36782045", "lng": "-71.12666653", "type": "edu", "country": "United States"}], "additional_papers": [], "citations": [{"id": "706b9767a444de4fe153b2f3bff29df7674c3161", "title": "Fast Metric Learning For Deep Neural Networks", "addresses": [{"name": "University of Waikato", "source_name": "The University of Waikato, Knighton Road, Hamilton, New Zealand", "street_adddress": "Hillcrest, Hamilton 3216, New Zealand", "lat": "-37.78686110", "lng": "175.31845790", "type": "edu", "country": "New Zealand"}], "year": "2015", "pdf": ["https://arxiv.org/pdf/1511.06442.pdf"], "doi": []}, {"id": "ab1728e84ac682ca0c53435f712a512ac139e9c8", "title": "University of Groningen Comparative Study Between Deep Learning and Bag of Visual Words for Wild-Animal", "addresses": [{"name": "University of Groningen", "source_name": "University of Groningen", "street_adddress": "Academiegebouw, Professorgang, Binnenstad, Groningen, Nederland, 9712EA, Nederland", "lat": "53.21967825", "lng": "6.56251482", "type": "edu", "country": "Netherlands"}], "year": "2017", "pdf": ["https://pdfs.semanticscholar.org/ab17/28e84ac682ca0c53435f712a512ac139e9c8.pdf"], "doi": []}, {"id": "080936799b4ada10785f0e227a2d10b054473127", "title": "Fast and scalable enrollment for face identification based on Partial Least Squares", "addresses": [{"name": "Universidade Federal de Minas Gerais", "source_name": "Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil", "street_adddress": "Av. 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