From 95302fe0c52a8aaecc40410cc9c76d258e708faa Mon Sep 17 00:00:00 2001 From: adamhrv Date: Thu, 18 Apr 2019 21:46:46 +0200 Subject: msceleb rough draft --- site/public/datasets/ijb_c/index.html | 151 ++++++++++++++++++++++++++++++++++ 1 file changed, 151 insertions(+) create mode 100644 site/public/datasets/ijb_c/index.html (limited to 'site/public/datasets/ijb_c') diff --git a/site/public/datasets/ijb_c/index.html b/site/public/datasets/ijb_c/index.html new file mode 100644 index 00000000..b6a16bfe --- /dev/null +++ b/site/public/datasets/ijb_c/index.html @@ -0,0 +1,151 @@ + + + + MegaPixels + + + + + + + + + + + +
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MegaPixels
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IJB-C
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+ Datasets + About +
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IJB-C is a datset ...
The IJB-C dataset contains... +

IARPA Janus Benchmark C (IJB-C)

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Published
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2017
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Images
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21,294
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Videos
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11,779
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Identities
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3,531
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Purpose
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face recognition challenge by NIST in full motion videos
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Website
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Who used IJB-C?

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+ This bar chart presents a ranking of the top countries where dataset citations originated. Mouse over individual columns to see yearly totals. These charts show at most the top 10 countries. +

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Biometric Trade Routes

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+ To help understand how IJB-C has been used around the world by commercial, military, and academic organizations; existing publicly available research citing IARPA Janus Benchmark C was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the markers to reveal research projects at that location. +

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  • Academic
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  • Commercial
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  • Military / Government
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Citation data is collected using SemanticScholar.org then dataset usage verified and geolocated.
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Dataset Citations

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+ The dataset citations used in the visualizations were collected from Semantic Scholar, a website which aggregates and indexes research papers. Each citation was geocoded using names of institutions found in the PDF front matter, or as listed on other resources. These papers have been manually verified to show that researchers downloaded and used the dataset to train or test machine learning algorithms. If you use our data, please cite our work. +

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Supplementary Information

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Cite Our Work

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+ + If you use our data, research, or graphics please cite our work: + +

+@online{megapixels,
+  author = {Harvey, Adam. LaPlace, Jules.},
+  title = {MegaPixels: Origins, Ethics, and Privacy Implications of Publicly Available Face Recognition Image Datasets},
+  year = 2019,
+  url = {https://megapixels.cc/},
+  urldate = {2019-04-18}
+}
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References

  • 1 "readme.txt" https://exhibits.stanford.edu/data/catalog/sx925dc9385. +
  • 2 Stewart, Russel. Andriluka, Mykhaylo. "End-to-end people detection in crowded scenes". 2016. +
  • 3 Li, Y. and Dou, Y. and Liu, X. and Li, T. Localized Region Context and Object Feature Fusion for People Head Detection. ICIP16 Proceedings. 2016. Pages 594-598. +
  • 4 Zhao. X, Wang Y, Dou, Y. A Replacement Algorithm of Non-Maximum Suppression Base on Graph Clustering. +
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