diff options
| author | jules@lens <julescarbon@gmail.com> | 2019-06-04 15:18:26 +0200 |
|---|---|---|
| committer | jules@lens <julescarbon@gmail.com> | 2019-06-04 15:18:26 +0200 |
| commit | 75debc5c9b774d68cbd01ab85f82a2a3f1a2b906 (patch) | |
| tree | ba9a34af7932c37e63b885ef29b074579c8ea7fa /site/datasets/final/ifad.json | |
| parent | 144c425749bbc7d092b31977439c911185eb6f33 (diff) | |
rebuild
Diffstat (limited to 'site/datasets/final/ifad.json')
| -rw-r--r-- | site/datasets/final/ifad.json | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/site/datasets/final/ifad.json b/site/datasets/final/ifad.json index 8d824b1c..de0d8542 100644 --- a/site/datasets/final/ifad.json +++ b/site/datasets/final/ifad.json @@ -1 +1 @@ -{"id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "dataset": {"key": "ifad", "name_short": "IFAD", "name_display": "IFAD", "name_full": "Indian Face Age Dataset", "purpose": "Face recognition with age variation", "comment": "Different dimensions: 32.32, 64.64, 96.96, 128.128, #faces changes depending on size. It seems like the numbers used correspond to 32.32. The conclusion says slightly different numbers (???) : 1379 males and 1882 females", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "cooperative": "N", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "source": "www", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "3,296 ", "videos": "", "tracklets": "", "identities": "55 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "1,882 ", "male": "1,414 ", "landmarks": "", "width": "32", "height": "32", "color": "", "gray": "", "tags": "fd, fr, age", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "key": "ifad", "title": "Indian Face Age Database: A Database for Face Recognition with Age Variation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf"], "address": "", "name": "IFAD", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "6e173ad91b288418c290aa8891193873933423b3", "title": "Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07595.pdf"], "doi": []}]}
\ No newline at end of file +{"id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "dataset": {"key": "ifad", "name_short": "IFAD", "name_display": "IFAD", "name_full": "Indian Face Age Dataset", "purpose": "Face recognition with age variation", "comment": "Different dimensions: 32.32, 64.64, 96.96, 128.128, #faces changes depending on size. It seems like the numbers used correspond to 32.32. The conclusion says slightly different numbers (???) : 1379 males and 1882 females", "created_by": "", "funded_by": "", "funded_by_short": "", "used_by": "", "license": "", "url": "", "verify_do": "Y", "verify_done": "", "cooperative": "N", "dl_im": "Y", "dl_meta": "", "dl_paper": "", "dl_web": "", "mp_pub": "N", "ft_share": "Y", "nyt_share": "Y", "indoor": "", "outdoor": "", "campus": "", "cyberspace": "Y", "parent": "", "sources": "www", "source_cat": "", "usernames": "", "names": "", "flickr_meta": "", "year_start": "", "year_end": "", "year_published": "2015", "ongoing": "", "images": "3,296 ", "videos": "", "tracklets": "", "identities": "55 ", "img_per_person": "", "num_cameras": "", "faces_or_persons": "", "female": "1,882 ", "male": "1,414 ", "landmarks": "", "width": "32", "height": "32", "color": "", "gray": "", "tags": "fd, fr, age", "size_gb": "", "agreement": "", "agreement_signed": "", "flickr": "", "facebook": "", "youtube": "", "vimeo": "", "google": "", "bing": "", "adam": "", "berit": "", "charlie": "Y", "notes": "", "derivative_of": "", "": ""}, "paper": {"paper_id": "55c40cbcf49a0225e72d911d762c27bb1c2d14aa", "key": "ifad", "title": "Indian Face Age Database: A Database for Face Recognition with Age Variation", "year": "2015", "pdf": ["https://pdfs.semanticscholar.org/025e/4cf3fd3fdeced91e9373b56ee14af7ca432c.pdf"], "address": "", "name": "IFAD", "doi": []}, "addresses": [], "additional_papers": [], "citations": [{"id": "6e173ad91b288418c290aa8891193873933423b3", "title": "Can you tell where in India I am from? Comparing humans and computers on fine-grained race face classification", "addresses": [{"name": "Indian Institute of Science Bangalore", "source_name": "Indian Institute of Science Bangalore", "street_adddress": "IISc, Gulmohar Marg, RMV Stage II - 1st Block, Aramane Nagara Ward, West Zone, Bengaluru, Bangalore Urban, Karnataka, 560012, India", "lat": "13.02223470", "lng": "77.56718325", "type": "edu", "country": "India"}], "year": "2017", "pdf": ["https://arxiv.org/pdf/1703.07595.pdf"], "doi": []}]}
\ No newline at end of file |
