diff options
| author | adamhrv <adam@ahprojects.com> | 2019-03-06 20:31:53 +0100 |
|---|---|---|
| committer | adamhrv <adam@ahprojects.com> | 2019-03-06 20:31:53 +0100 |
| commit | f4feb9d770dff0cc2439e5fd88585e9fa2429ac6 (patch) | |
| tree | c8ab5e12defea1d9b105c1cd78c6d897efc12477 /site/includes | |
| parent | a247a68323675d4bc7a9914f21748346ddefdf10 (diff) | |
working..
Diffstat (limited to 'site/includes')
| -rw-r--r-- | site/includes/map.html | 11 |
1 files changed, 9 insertions, 2 deletions
diff --git a/site/includes/map.html b/site/includes/map.html index 9b99a732..6d4b43b4 100644 --- a/site/includes/map.html +++ b/site/includes/map.html @@ -1,6 +1,6 @@ <section> - <h3>Information Supply Chain</h3> + <h3>Biometric Trade Routes (beta)</h3> <!-- <div class="map-sidebar right-sidebar"> <h3>Legend</h3> @@ -12,7 +12,8 @@ </div> --> <p> - To understand how and where this dataset has been used, organizations using the dataset are plotted below. The data is generated by collecting all citations for all the original research papers associated with the dataset. The PDFs are then converted to text and the organization names are extracted and geocoded. Because of the automated approach to extracting data, <span style="color:#ff8a72">not all organizations have been confirmed as using the dataset</span>. This visualization is provided to help locate and confirm usage and will be updated as data noise is reduced. + 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> @@ -27,3 +28,9 @@ <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> |
