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Diffstat (limited to 'site/content/pages/datasets/vgg_face2/index.md')
| -rw-r--r-- | site/content/pages/datasets/vgg_face2/index.md | 24 |
1 files changed, 10 insertions, 14 deletions
diff --git a/site/content/pages/datasets/vgg_face2/index.md b/site/content/pages/datasets/vgg_face2/index.md index 718b879b..d18d1c2e 100644 --- a/site/content/pages/datasets/vgg_face2/index.md +++ b/site/content/pages/datasets/vgg_face2/index.md @@ -3,31 +3,28 @@ status: draft title: VGG Face 2 Dataset desc: VGG Face 2 Dataset -slug: vgg_face2 +slug: brainwash published: 2019-2-23 updated: 2019-2-23 authors: Adam Harvey ------------ -# VGG Face 2 -+ Years: TBD -+ Images: TBD -+ Identities: TBD -+ Origin: TBD -+ Funding: IARPA +### sidebar +### end sidebar +## VGG Face 2 - +[ page under development ] -### Analysis - -- The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru +{% include 'dashboard.html' %} +----- -### Names and descriptions +### (ignore) research notes +- The VGG Face 2 dataset includes approximately 1,331 actresses, 139 presidents, 16 wives, 3 husbands, 2 snooker player, and 1 guru - The original VGGF2 name list has been updated with the results returned from Google Knowledge - Names with a similarity score greater than 0.75 where automatically updated. Scores computed using `import difflib; seq = difflib.SequenceMatcher(a=a.lower(), b=b.lower()); score = seq.ratio()` - The 97 names with a score of 0.75 or lower were manually reviewed and includes name changes validating using Wikipedia.org results for names such as "Bruce Jenner" to "Caitlyn Jenner", spousal last-name changes, and discretionary changes to improve search results such as combining nicknames with full name when appropriate, for example changing "Aleksandar Petrović" to "Aleksandar 'Aco' Petrović" and minor changes such as "Mohammad Ali" to "Muhammad Ali" @@ -43,5 +40,4 @@ authors: Adam Harvey - find examples, citations, and screenshots of useage - find list of companies using it for table - create montages of the dataset, like LFW -- create right to removal information - +- create right to removal information
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