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authorjules@lens <julescarbon@gmail.com>2019-03-19 20:24:35 +0100
committerjules@lens <julescarbon@gmail.com>2019-03-19 20:24:35 +0100
commita213e18c2840e38ec641ecd76f2d8d40829fe5ad (patch)
treef5a30ee49931c42ea7406323bdbdbe75b9c408ab /site/datasets/final/afad.json
parent3e0c2d9ca5e07593bc2610dae9ebb907143cda4d (diff)
rebuild
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diff --git a/site/datasets/final/afad.json b/site/datasets/final/afad.json
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@@ -1 +1 @@
-{"id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "dataset": {"key": "afad", "name_short": "AFAD", "name_display": "Asian Face Age Dataset", "name_full": "The Asian Face Age Dataset", "purpose": "age estimation on Asian Faces", "url": "https://afad-dataset.github.io/", "downloaded": "Y", "mp_pub": "Y", "ft_share": "Y", "wild": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "parent": "", "child": "", "source": "renren", "usernames": "", "names": "", "year_start": "", "year_end": "", "year_published": "2017", "ongoing": "", "images": "164,432 ", "videos": "", "identities": "", "img_per_person": "", "num_cameras": "", "faces_persons": "", "female": "63,680 ", "male": "100,752 ", "landmarks": "", "width": "", "height": "", "color": "", "gray": "", "derivative_of": "", "tags": "age", "size_gb": "", "agreement": "", "agree_requied": "", "agreement_signed": "", "downloaded_from": "", "comment": "", "adam": "", "berit": "Y", "charlie": "", "notes": ""}, "paper": {"paper_id": "6618cff7f2ed440a0d2fa9e74ad5469df5cdbe4c", "key": "afad", "title": "Ordinal Regression with Multiple Output CNN for Age Estimation", "year": "2016", "pdf": [], "address": "", "name": "AFAD", "doi": ["http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7780901"]}, "addresses": [], "additional_papers": [], "citations": [{"id": "5f0d4a0b5f72d8700cdf8cb179263a8fa866b59b", "title": "Memo No . 85 06 / 2018 Deep Regression Forests for Age Estimation", "addresses": [{"name": "Shanghai University", "source_name": "Shanghai University", "street_adddress": "\u4e0a\u6d77\u5927\u5b66, \u9526\u79cb\u8def, \u5927\u573a\u9547, \u5b9d\u5c71\u533a (Baoshan), \u4e0a\u6d77\u5e02, 201906, \u4e2d\u56fd", "lat": "31.32235655", "lng": "121.38400941", "type": "edu", "country": "China"}, {"name": "Johns Hopkins University", "source_name": "Johns Hopkins University", "street_adddress": "Baltimore, MD 21218, USA", 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