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| -rw-r--r-- | site/public/datasets/lfw/index.html | 5 | ||||
| -rw-r--r-- | site/public/datasets/vgg_face2/index.html | 3 |
3 files changed, 8 insertions, 5 deletions
diff --git a/site/public/datasets/index.html b/site/public/datasets/index.html index 4a9f8640..4a0f32eb 100644 --- a/site/public/datasets/index.html +++ b/site/public/datasets/index.html @@ -10,6 +10,7 @@ <link rel='stylesheet' href='/assets/css/fonts.css' /> <link rel='stylesheet' href='/assets/css/tabulator.css' /> <link rel='stylesheet' href='/assets/css/css.css' /> + <link rel='stylesheet' href='/assets/css/leaflet.css' /> <link rel='stylesheet' href='/assets/css/applets.css' /> </head> <body> @@ -27,10 +28,10 @@ </header> <div class="content"> - <section><h2>Facial Recognition Datasets</h2> + <section><h1>Facial Recognition Datasets</h1> <p>Regular Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.</p> <h3>Summary</h3> -</section><section><div class='meta'><div><div class='gray'>Found</div><div>275 datasets</div></div><div><div class='gray'>Created between</div><div>1993-2018</div></div><div><div class='gray'>Smallest dataset</div><div>20 images</div></div><div><div class='gray'>Largest dataset</div><div>10,000,000 images</div></div></div></section><section><div class='meta'><div><div class='gray'>Highest resolution faces</div><div>450x500 (Unconstrained College Students)</div></div><div><div class='gray'>Lowest resolution faces</div><div>16x20 pixels (QMUL SurvFace)</div></div></div></section><section><div class='applet' data-payload='{"command": "load file", "opt": "https://megapixels.nyc3.digitaloceanspaces.com/v1/citations/datasets.csv"}'></div></section> +</section><section><div class='meta'><div><div class='gray'>Found</div><div>275 datasets</div></div><div><div class='gray'>Created between</div><div>1993-2018</div></div><div><div class='gray'>Smallest dataset</div><div>20 images</div></div><div><div class='gray'>Largest dataset</div><div>10,000,000 images</div></div></div></section><section><div class='meta'><div><div class='gray'>Highest resolution faces</div><div>450x500 (Unconstrained College Students)</div></div><div><div class='gray'>Lowest resolution faces</div><div>16x20 pixels (QMUL SurvFace)</div></div></div></section><section><div class='applet' data-payload='{"command": "load_file https://megapixels.nyc3.digitaloceanspaces.com/v1/citations/datasets.csv"}'></div></section> </div> <footer> diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index 35056347..84028a3b 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -10,6 +10,7 @@ <link rel='stylesheet' href='/assets/css/fonts.css' /> <link rel='stylesheet' href='/assets/css/tabulator.css' /> <link rel='stylesheet' href='/assets/css/css.css' /> + <link rel='stylesheet' href='/assets/css/leaflet.css' /> <link rel='stylesheet' href='/assets/css/applets.css' /> </head> <body> @@ -29,7 +30,7 @@ <section><h1>Labeled Faces in the Wild</h1> </section><section><div class='meta'><div><div class='gray'>Created</div><div>2007</div></div><div><div class='gray'>Images</div><div>13,233</div></div><div><div class='gray'>People</div><div>5,749</div></div><div><div class='gray'>Created From</div><div>Yahoo News images</div></div><div><div class='gray'>Search available</div><div>Searchable</div></div></div></section><section><p>Labeled Faces in The Wild (LFW) is amongst the most widely used facial recognition training datasets in the world and is the first of its kind to be created entirely from images posted online. The LFW dataset includes 13,233 images of 5,749 people that were collected between 2002-2004. Use the tools below to check if you were included in this dataset or scroll down to read the analysis.</p> -</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": "https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_feature.jpg' alt='Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.'><div class='caption'>Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.</div></div></section><section><h2>Intro</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 assets/lfw_names_gender_kg_min.csv"}'></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_feature.jpg' alt='Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.'><div class='caption'>Eighteen of the 5,749 people in the Labeled Faces in the Wild Dataset. The most widely used face dataset for benchmarking commercial face recognition algorithms.</div></div></section><section><h2>Intro</h2> <p>Three paragraphs describing the LFW dataset in a format that can be easily replicated for the other datasets. Nothing too custom. An analysis of the initial research papers with context relative to all the other dataset papers.</p> </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_everyone_nocrop_1920.jpg' alt=' all 5,749 people in the LFW Dataset sorted from most to least images collected.'><div class='caption'> all 5,749 people in the LFW Dataset sorted from most to least images collected.</div></div></section><section><h2>LFW by the Numbers</h2> <ul> @@ -66,7 +67,7 @@ <p>According to BiometricUpdate.com [^lfw_pingan], LFW is "the most widely used evaluation set in the field of facial recognition, LFW attracts a few dozen teams from around the globe including Google, Facebook, Microsoft Research Asia, Baidu, Tencent, SenseTime, Face++ and Chinese University of Hong Kong."</p> <p>According to researchers at the Baidu Research – Institute of Deep Learning "LFW has been the most popular evaluation benchmark for face recognition, and played a very important role in facilitating the face recognition society to improve algorithm. [^lfw_baidu]."</p> <p>In addition to commercial use as an evaluation tool, alll of the faces in LFW dataset are prepackaged into a popular machine learning code framework called scikit-learn.</p> -</section><section><div class='applet' data-payload='{"command": "load file", "opt": "https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_commercial_use.csv", "fields": "name_display, company_url, example_url, country, description"}'></div></section><section><table> +</section><section><div class='applet' data-payload='{"command": "load_file assets/lfw_commercial_use.csv"}'></div></section><section><table> <thead><tr> <th style="text-align:left">Company</th> <th style="text-align:left">Country</th> diff --git a/site/public/datasets/vgg_face2/index.html b/site/public/datasets/vgg_face2/index.html index 46242505..90216add 100644 --- a/site/public/datasets/vgg_face2/index.html +++ b/site/public/datasets/vgg_face2/index.html @@ -10,6 +10,7 @@ <link rel='stylesheet' href='/assets/css/fonts.css' /> <link rel='stylesheet' href='/assets/css/tabulator.css' /> <link rel='stylesheet' href='/assets/css/css.css' /> + <link rel='stylesheet' href='/assets/css/leaflet.css' /> <link rel='stylesheet' href='/assets/css/applets.css' /> </head> <body> @@ -29,7 +30,7 @@ <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> -</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": "https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/vgg_face2/lfw_names_gender_kg_min.csv", "fields": "Name, Images, Gender, Description"}'></div></section><section><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 assets/lfw_names_gender_kg_min.csv"}'></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> |