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Diffstat (limited to 'site/public/datasets/vgg_face2/index.html')
| -rw-r--r-- | site/public/datasets/vgg_face2/index.html | 9 |
1 files changed, 2 insertions, 7 deletions
diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html index 24a1059b..817fc9a0 100644 --- a/site/public/datasets/vgg_face2/index.html +++ b/site/public/datasets/vgg_face2/index.html @@ -28,12 +28,7 @@ <section><h1>VGG Faces2</h1> </section><section><div class='meta'><div><div class='gray'>Created</div><div>2018</div></div><div><div class='gray'>Images</div><div>3.3M</div></div><div><div class='gray'>People</div><div>9,000</div></div><div><div class='gray'>Created From</div><div>Scraping search engines</div></div><div><div class='gray'>Search available</div><div>[Searchable](#)</div></div></div></section><section><p>VGG Face2 is the updated version of the VGG Face dataset and now includes over 3.3M face images from over 9K people. The identities were selected by taking the top 500K identities in Google's Knowledge Graph of celebrities and then selecting only the names that yielded enough training images. The dataset was created in the UK but funded by Office of Director of National Intelligence in the United States.</p> -<p>{INSERT IMAGE SEARCH MODULE}</p> -<p>{INSERT TEXT SEARCH MODULE}</p> -<pre><code>load file: lfw_names_gender_kg_min.csv -Name, Images, Gender, Description -</code></pre> -<h2>VGG Face2 by the Numbers</h2> +</section><section><div class='applet' data-payload='{"command": "face_search"}'></div></section><section><div class='applet' data-payload='{"command": "name_search"}'></div></section><section><div class='applet' data-payload='{"command": "load file", "opt": "lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section><section><h2>VGG Face2 by the Numbers</h2> <ul> <li>1,331 actresses, 139 presidents</li> <li>3 husbands and 16 wives</li> @@ -47,7 +42,7 @@ Name, Images, Gender, Description <li>The original VGGF2 name list has been updated with the results returned from Google Knowledge</li> <li>Names with a similarity score greater than 0.75 where automatically updated. Scores computed using <code>import difflib; seq = difflib.SequenceMatcher(a=a.lower(), b=b.lower()); score = seq.ratio()</code></li> <li>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"</li> -<li>The 'Description` text was automatically added when the Knowledge Graph score was greater than 250</li> +<li>The 'Description' text was automatically added when the Knowledge Graph score was greater than 250</li> </ul> <h1>TODO</h1> <ul> |