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Diffstat (limited to 'site/content/pages/about')
| -rwxr-xr-x | site/content/pages/about/assets/megapixels_license.pdf | bin | 0 -> 42860 bytes | |||
| -rw-r--r-- | site/content/pages/about/attribution.md | 6 | ||||
| -rw-r--r-- | site/content/pages/about/index.md | 4 | ||||
| -rw-r--r-- | site/content/pages/about/updates.md | 38 |
4 files changed, 41 insertions, 7 deletions
diff --git a/site/content/pages/about/assets/megapixels_license.pdf b/site/content/pages/about/assets/megapixels_license.pdf Binary files differnew file mode 100755 index 00000000..42771b32 --- /dev/null +++ b/site/content/pages/about/assets/megapixels_license.pdf diff --git a/site/content/pages/about/attribution.md b/site/content/pages/about/attribution.md index 3cab8d57..bf190478 100644 --- a/site/content/pages/about/attribution.md +++ b/site/content/pages/about/attribution.md @@ -36,11 +36,9 @@ If you use the MegaPixels data or any data derived from it, please cite the orig } </pre> -and include this license and attribution protocol within any derivative work. +If you redistribute any data from this site, you must also include this [license](assets/megapixels_license.pdf) in PDF format -If you publish data derived from MegaPixels, the original dataset creators should first be notified. - -The MegaPixels dataset is made available under the Open Data Commons Attribution License (https://opendatacommons.org/licenses/by/1.0/) and for academic use only. +The MegaPixel dataset is made available under the Open Data Commons Attribution License (https://opendatacommons.org/licenses/by/1.0/) and for academic use only. READABLE SUMMARY OF Open Data Commons Attribution License diff --git a/site/content/pages/about/index.md b/site/content/pages/about/index.md index 4cf390fc..36e28d22 100644 --- a/site/content/pages/about/index.md +++ b/site/content/pages/about/index.md @@ -45,12 +45,10 @@ MegaPixels is made possible with support from <a href="http://mozilla.org">Mozil MegaPixels is an art and research project first launched in 2017 for an [installation](https://ahprojects.com/megapixels-glassroom/) at Tactical Technology Collective's [GlassRoom](https://tacticaltech.org/pages/glass-room-london-press/) about face recognition datasets. In 2018 MegaPixels was extended to cover pedestrian analysis datasets for a [commission by Elevate Arts festival](https://esc.mur.at/de/node/2370) in Austria. Since then MegaPixels has evolved into a large-scale interrogation of hundreds of publicly-available face and person analysis datasets, the first of which launched on this site in April 2019. -MegaPixels aims to provide a critical perspective on machine learning image datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the several of the same technology companies who have created datasets presented on this site. +MegaPixels aims to provide a critical perspective on machine learning image datasets, one that might otherwise escape academia and industry funded artificial intelligence think tanks that are often supported by the same technology companies who created many of the datasets presented on this site. MegaPixels is an independent project, designed as a public resource for educators, students, journalists, and researchers. Each dataset presented on this site undergoes a thorough review of its images, intent, and funding sources. Though the goals are similar to publishing an academic paper, MegaPixels is a website-first research project, with an academic publication to follow. -One of the main focuses of the dataset investigations presented on this site is to uncover where funding originated. Because of our emphasis on other researcher's funding sources, it is important that we are transparent about our own. This site and the past year of research have been primarily funded by a privacy art grant from Mozilla in 2018. The original MegaPixels installation in 2017 was built as a commission for and with support from Tactical Technology Collective and Mozilla. The research into pedestrian analysis datasets was funded by a commission from Elevate Arts, and continued development in 2019 is supported in part by a 1-year Researcher-in-Residence grant from Karlsruhe HfG, as well as lecture and workshop fees. - === columns 3 ##### Team diff --git a/site/content/pages/about/updates.md b/site/content/pages/about/updates.md new file mode 100644 index 00000000..3cac2143 --- /dev/null +++ b/site/content/pages/about/updates.md @@ -0,0 +1,38 @@ +------------ + +status: published +title: MegaPixels Site Updates +desc: MegaPixels Site Updates +slug: updates +cssclass: about +published: 2019-06-02 +updated: 2019-06-02 +authors: Adam Harvey + +------------ + +# Updates and Responses + +<section class="about-menu"> +<ul> +<li><a href="/about/">About</a></li> +<li><a class="current" href="/about/updates/">Updates</a></li> +<li><a href="/about/press/">Press</a></li> +<li><a href="/about/attribution/">Attribution</a></li> +<li><a href="/about/legal/">Legal / Privacy</a></li> +</ul> +</section> + +Since publishing this project, several of datasets have disappeared. Below is a chronical of recents events related to the datasets on this site. + +June 2019 + +- June 2: The Duke MTMC main webpage was deactivated and the entire dataset seems to be no longer available from Duke +- June 2: The has been https://reid-mct.github.io/2019/ +- June 1: The Brainwash face/head dataset has been taken down by its author after posting it about it + +May 2019 + +- May 31: Semantic Scholar appears to be censoring citations used in this project. Two of the citations linking the Brainwash dataset to a military research in China have been intentionally disabled. +- May 28: The Microsoft Celeb (MS Celeb) face dataset website is now 404 and all the download links are deactivated. It appears that Microsoft Reserach has shuttered access to their MS Celeb dataset. Yet it remains available, as of June 2, on [Imperial College London's website](https://ibug.doc.ic.ac.uk/resources/lightweight-face-recognition-challenge-workshop/) +-
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