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Diffstat (limited to 'site/public/datasets')
| -rw-r--r-- | site/public/datasets/50_people_one_question/index.html | 57 | ||||
| -rw-r--r-- | site/public/datasets/brainwash/index.html | 69 | ||||
| -rw-r--r-- | site/public/datasets/celeba/index.html | 57 | ||||
| -rw-r--r-- | site/public/datasets/cofw/index.html | 69 | ||||
| -rw-r--r-- | site/public/datasets/lfw/index.html | 69 | ||||
| -rw-r--r-- | site/public/datasets/mars/index.html | 57 |
6 files changed, 372 insertions, 6 deletions
diff --git a/site/public/datasets/50_people_one_question/index.html b/site/public/datasets/50_people_one_question/index.html index e0b3581a..945a1233 100644 --- a/site/public/datasets/50_people_one_question/index.html +++ b/site/public/datasets/50_people_one_question/index.html @@ -31,7 +31,62 @@ </span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>50 People 1 Question</h2> <p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p> <p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p> -</section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">■</span> Industry</li> <li><span style="color: #f30000">■</span> Academic</li> <li><span style="color: #3264f6">■</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "map"}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <p class='subp'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p></section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p> Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. </p> <p> Add button/link to download CSV </p> <div class="applet" data-payload="{"command": "citations"}"></div></section> +</section><section> + + <h3>Biometric Trade Routes (beta)</h3> +<!-- + <div class="map-sidebar right-sidebar"> + <h3>Legend</h3> + <ul> + <li><span style="color: #f2f293">■</span> Industry</li> + <li><span style="color: #f30000">■</span> Academic</li> + <li><span style="color: #3264f6">■</span> Government</li> + </ul> + </div> + --> + <p> + To understand how this dataset has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + </p> +</section><section> + + + <div class="hr-wave-holder"> + <div class="hr-wave-line hr-wave-line1"></div> + <div class="hr-wave-line hr-wave-line2"></div> + </div> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section> </div> <footer> diff --git a/site/public/datasets/brainwash/index.html b/site/public/datasets/brainwash/index.html index e1a01227..3a13d129 100644 --- a/site/public/datasets/brainwash/index.html +++ b/site/public/datasets/brainwash/index.html @@ -32,7 +32,74 @@ <p><em>Brainwash</em> is a face detection dataset created from the Brainwash Cafe's livecam footage including 11,918 images of "everyday life of a busy downtown cafe<a class="footnote_shim" name="[^readme]_1"> </a><a href="#[^readme]" class="footnote" title="Footnote 1">1</a>". The images are used to develop face detection algorithms for the "challenging task of detecting people in crowded scenes" and tracking them.</p> <p>Before closing in 2017, Brainwash Cafe was a "cafe and laundromat" located in San Francisco's SoMA district. The cafe published a publicy available livestream from the cafe with a view of the cash register, performance stage, and seating area.</p> <p>Since it's publication by Stanford in 2015, the Brainwash dataset has appeared in several notable research papers. In September 2016 four researchers from the National University of Defense Technology in Changsha, China used the Brainwash dataset for a research study on "people head detection in crowded scenes", concluding that their algorithm "achieves superior head detection performance on the crowded scenes dataset<a class="footnote_shim" name="[^localized_region_context]_1"> </a><a href="#[^localized_region_context]" class="footnote" title="Footnote 2">2</a>". And again in 2017 three researchers at the National University of Defense Technology used Brainwash for a study on object detection noting "the data set used in our experiment is shown in Table 1, which includes one scene of the brainwash dataset<a class="footnote_shim" name="[^replacement_algorithm]_1"> </a><a href="#[^replacement_algorithm]" class="footnote" title="Footnote 3">3</a>".</p> -</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/00425000_960.jpg' alt=' An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_montage.jpg' alt=' 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">■</span> Industry</li> <li><span style="color: #f30000">■</span> Academic</li> <li><span style="color: #3264f6">■</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "map"}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <p class='subp'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p></section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p> Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. </p> <p> Add button/link to download CSV </p> <div class="applet" data-payload="{"command": "citations"}"></div></section><section> <p> This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns to see yearly totals. Colors are only assigned to the top 10 overall countries. </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "chart"}"></div></section><section><h3>Additional Information</h3> +</section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/00425000_960.jpg' alt=' An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> An sample image from the Brainwash dataset used for training face and head detection algorithms for surveillance. The datset contains about 12,000 images. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/brainwash/assets/brainwash_montage.jpg' alt=' 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)'><div class='caption'> 49 of the 11,918 images included in the Brainwash dataset. License: Open Data Commons Public Domain Dedication (PDDL)</div></div></section><section> + + <h3>Biometric Trade Routes (beta)</h3> +<!-- + <div class="map-sidebar right-sidebar"> + <h3>Legend</h3> + <ul> + <li><span style="color: #f2f293">■</span> Industry</li> + <li><span style="color: #f30000">■</span> Academic</li> + <li><span style="color: #3264f6">■</span> Government</li> + </ul> + </div> + --> + <p> + To understand how this dataset has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + </p> +</section><section> + + + <div class="hr-wave-holder"> + <div class="hr-wave-line hr-wave-line1"></div> + <div class="hr-wave-line hr-wave-line2"></div> + </div> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section><section> + <h3>Who used ?</h3> + + <p> + This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns + to see yearly totals. Colors are only assigned to the top 10 overall countries. + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "chart"}"></div> +</section><section><h3>Additional Information</h3> <ul> <li>The dataset author spoke about his research at the CVPR conference in 2016 <a href="https://www.youtube.com/watch?v=Nl2fBKxwusQ">https://www.youtube.com/watch?v=Nl2fBKxwusQ</a></li> </ul> diff --git a/site/public/datasets/celeba/index.html b/site/public/datasets/celeba/index.html index d717d6f8..39eb4971 100644 --- a/site/public/datasets/celeba/index.html +++ b/site/public/datasets/celeba/index.html @@ -31,7 +31,62 @@ </span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>CelebA</h2> <p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p> <p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p> -</section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">■</span> Industry</li> <li><span style="color: #f30000">■</span> Academic</li> <li><span style="color: #3264f6">■</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "map"}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <p class='subp'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p></section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p> Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. </p> <p> Add button/link to download CSV </p> <div class="applet" data-payload="{"command": "citations"}"></div></section><section><h3>Research</h3> +</section><section> + + <h3>Biometric Trade Routes (beta)</h3> +<!-- + <div class="map-sidebar right-sidebar"> + <h3>Legend</h3> + <ul> + <li><span style="color: #f2f293">■</span> Industry</li> + <li><span style="color: #f30000">■</span> Academic</li> + <li><span style="color: #3264f6">■</span> Government</li> + </ul> + </div> + --> + <p> + To understand how this dataset has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + </p> +</section><section> + + + <div class="hr-wave-holder"> + <div class="hr-wave-line hr-wave-line1"></div> + <div class="hr-wave-line hr-wave-line2"></div> + </div> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section><section><h3>Research</h3> <ul> <li>"An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks" mentions use by sponsored by an agency of the United States government. Neither the United States government nor Lawrence Livermore National Security, LLC, nor any of their"</li> <li>7dab6fbf42f82f0f5730fc902f72c3fb628ef2f0</li> diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 2d8938c5..3dc139b0 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -41,7 +41,74 @@ To increase the number of training images, and since COFW has the exact same la <blockquote><p>This research is supported by NSF Grant 0954083 and by the Office of the Director of National Intelligence (ODNI), Intelligence Advanced Research Projects Activity (IARPA), via IARPA R&D Contract No. 2014-14071600012.</p> </blockquote> <p><a href="https://www.cs.cmu.edu/~peiyunh/topdown/">https://www.cs.cmu.edu/~peiyunh/topdown/</a></p> -</section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">■</span> Industry</li> <li><span style="color: #f30000">■</span> Academic</li> <li><span style="color: #3264f6">■</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "map"}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <p class='subp'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p></section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p> Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. </p> <p> Add button/link to download CSV </p> <div class="applet" data-payload="{"command": "citations"}"></div></section><section> <p> This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns to see yearly totals. Colors are only assigned to the top 10 overall countries. </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "chart"}"></div></section><section><p>TODO</p> +</section><section> + + <h3>Biometric Trade Routes (beta)</h3> +<!-- + <div class="map-sidebar right-sidebar"> + <h3>Legend</h3> + <ul> + <li><span style="color: #f2f293">■</span> Industry</li> + <li><span style="color: #f30000">■</span> Academic</li> + <li><span style="color: #3264f6">■</span> Government</li> + </ul> + </div> + --> + <p> + To understand how this dataset has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + </p> +</section><section> + + + <div class="hr-wave-holder"> + <div class="hr-wave-line hr-wave-line1"></div> + <div class="hr-wave-line hr-wave-line2"></div> + </div> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section><section> + <h3>Who used ?</h3> + + <p> + This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns + to see yearly totals. Colors are only assigned to the top 10 overall countries. + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "chart"}"></div> +</section><section><p>TODO</p> <h2>- replace graphic</h2> </section> diff --git a/site/public/datasets/lfw/index.html b/site/public/datasets/lfw/index.html index d694e2b6..9a7e7f2c 100644 --- a/site/public/datasets/lfw/index.html +++ b/site/public/datasets/lfw/index.html @@ -44,7 +44,74 @@ <p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p> </section><section class='images'><div class='image'><img src='https://nyc3.digitaloceanspaces.com/megapixels/v1/datasets/lfw/assets/lfw_montage_all_crop.jpg' alt='All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person'><div class='caption'>All 5,379 people in the Labeled Faces in The Wild Dataset. Showing one face per person</div></div></section><section><p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p> <p>The <em>Names and Faces</em> dataset was the first face recognition dataset created entire from online photos. However, <em>Names and Faces</em> and <em>LFW</em> are not the first face recognition dataset created entirely "in the wild". That title belongs to the <a href="/datasets/ucd_faces/">UCD dataset</a>. Images obtained "in the wild" means using an image without explicit consent or awareness from the subject or photographer.</p> -</section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">■</span> Industry</li> <li><span style="color: #f30000">■</span> Academic</li> <li><span style="color: #3264f6">■</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "map"}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <p class='subp'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p></section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p> Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. </p> <p> Add button/link to download CSV </p> <div class="applet" data-payload="{"command": "citations"}"></div></section><section> <p> This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns to see yearly totals. Colors are only assigned to the top 10 overall countries. </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "chart"}"></div></section><section><h3>Commercial Use</h3> +</section><section> + + <h3>Biometric Trade Routes (beta)</h3> +<!-- + <div class="map-sidebar right-sidebar"> + <h3>Legend</h3> + <ul> + <li><span style="color: #f2f293">■</span> Industry</li> + <li><span style="color: #f30000">■</span> Academic</li> + <li><span style="color: #3264f6">■</span> Government</li> + </ul> + </div> + --> + <p> + To understand how this dataset has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + </p> +</section><section> + + + <div class="hr-wave-holder"> + <div class="hr-wave-line hr-wave-line1"></div> + <div class="hr-wave-line hr-wave-line2"></div> + </div> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section><section> + <h3>Who used ?</h3> + + <p> + This bar chart presents a ranking of the top countries where citations originated. Mouse over individual columns + to see yearly totals. Colors are only assigned to the top 10 overall countries. + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "chart"}"></div> +</section><section><h3>Commercial Use</h3> <p>Add a paragraph about how usage extends far beyond academia into research centers for largest companies in the world. And even funnels into CIA funded research in the US and defense industry usage in China.</p> </section><section class='applet_container'><div class='applet' data-payload='{"command": "load_file assets/lfw_commercial_use.csv", "fields": ["name_display, company_url, example_url, country, description"]}'></div></section><section><p>Research, text, and graphics ©Adam Harvey / megapixels.cc</p> </section><section><ul class="footnotes"><li><a name="[^lfw_www]" class="footnote_shim"></a><span class="backlinks"><a href="#[^lfw_www]_1">a</a><a href="#[^lfw_www]_2">b</a></span><p><a href="http://vis-www.cs.umass.edu/lfw/results.html">http://vis-www.cs.umass.edu/lfw/results.html</a></p> diff --git a/site/public/datasets/mars/index.html b/site/public/datasets/mars/index.html index d84ec039..1ebf1138 100644 --- a/site/public/datasets/mars/index.html +++ b/site/public/datasets/mars/index.html @@ -31,7 +31,62 @@ </span></div></div></section><section><div class='left-sidebar'><div class='meta'><div><div class='gray'>Collected</div><div>TBD</div></div><div><div class='gray'>Published</div><div>TBD</div></div><div><div class='gray'>Images</div><div>TBD</div></div><div><div class='gray'>Faces</div><div>TBD</div></div></div></div><h2>50 MARS</h2> <p>At vero eos et accusamus et iusto odio dignissimos ducimus, qui blanditiis praesentium voluptatum deleniti atque corrupti, quos dolores et quas molestias excepturi sint, obcaecati cupiditate non-provident, similique sunt in culpa, qui officia deserunt mollitia animi, id est laborum et dolorum fuga. Et harum quidem rerum facilis est et expedita distinctio.</p> <p>Nam libero tempore, cum soluta nobis est eligendi optio, cumque nihil impedit, quo minus id, quod maxime placeat, facere possimus, omnis voluptas assumenda est, omnis dolor repellendus. Temporibus autem quibusdam et aut officiis debitis aut rerum necessitatibus saepe eveniet, ut et voluptates repudiandae sint et molestiae non-recusandae. Itaque earum rerum hic tenetur a sapiente delectus, ut aut reiciendis voluptatibus maiores alias consequatur aut perferendis doloribus asperiores repellat</p> -</section><section> <h3>Biometric Trade Routes (beta)</h3><!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> <ul> <li><span style="color: #f2f293">■</span> Industry</li> <li><span style="color: #f30000">■</span> Academic</li> <li><span style="color: #3264f6">■</span> Government</li> </ul> </div> --> <p> To understand how this dataset has been used around the world... affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast </p> </section><section class="applet_container"> <div class="applet" data-payload="{"command": "map"}"></div></section><div class="caption"> <div class="map-legend-item edu">Academic</div> <div class="map-legend-item com">Industry</div> <div class="map-legend-item gov">Government</div> Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified.</div><section> <p class='subp'> The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. </p></section><section> <div class="hr-wave-holder"> <div class="hr-wave-line hr-wave-line1"></div> <div class="hr-wave-line hr-wave-line2"></div> </div> <h2>Supplementary Information</h2></section><section class="applet_container"> <h3>Citations</h3> <p> Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. </p> <p> Add button/link to download CSV </p> <div class="applet" data-payload="{"command": "citations"}"></div></section> +</section><section> + + <h3>Biometric Trade Routes (beta)</h3> +<!-- + <div class="map-sidebar right-sidebar"> + <h3>Legend</h3> + <ul> + <li><span style="color: #f2f293">■</span> Industry</li> + <li><span style="color: #f30000">■</span> Academic</li> + <li><span style="color: #3264f6">■</span> Government</li> + </ul> + </div> + --> + <p> + To understand how this dataset has been used around the world... + affected global research on computer vision, surveillance, defense, and consumer technology, the and where this dataset has been used the locations of each organization that used or referenced the datast + </p> + + </section> + +<section class="applet_container"> + <div class="applet" data-payload="{"command": "map"}"></div> +</section> + +<div class="caption"> + <div class="map-legend-item edu">Academic</div> + <div class="map-legend-item com">Industry</div> + <div class="map-legend-item gov">Government</div> + Data is compiled from <a href="https://www.semanticscholar.org">Semantic Scholar</a> and not yet manually verified. +</div> + +<section> + <p class='subp'> + The data is generated by collecting all citations for all original research papers associated with the dataset. Then the PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, actual use of the dataset can not yet be confirmed. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + </p> +</section><section> + + + <div class="hr-wave-holder"> + <div class="hr-wave-line hr-wave-line1"></div> + <div class="hr-wave-line hr-wave-line2"></div> + </div> + + <h2>Supplementary Information</h2> +</section><section class="applet_container"> + <h3>Citations</h3> + <p> + Citations were collected from <a href="https://www.semanticscholar.org">Semantic Scholar</a>, a website which aggregates + and indexes research papers. Metadata was extracted from these papers, including extracting names of institutions automatically from PDFs, and then the addresses were geocoded. Data is not yet manually verified, and reflects anytime the paper was cited. Some papers may only mention the dataset in passing, while others use it as part of their research methodology. + </p> + <p> + Add button/link to download CSV + </p> + + <div class="applet" data-payload="{"command": "citations"}"></div> +</section> </div> <footer> |