From 9d6d12f0b16d10219c62f25ce036b9377417de70 Mon Sep 17 00:00:00 2001 From: Jules Laplace Date: Tue, 16 Apr 2019 18:55:02 +0200 Subject: build --- site/public/datasets/cofw/index.html | 117 ++++++++++++++++++++++++++++++++--- 1 file changed, 107 insertions(+), 10 deletions(-) (limited to 'site/public/datasets/cofw') diff --git a/site/public/datasets/cofw/index.html b/site/public/datasets/cofw/index.html index 084cf7c2..eef8cf5e 100644 --- a/site/public/datasets/cofw/index.html +++ b/site/public/datasets/cofw/index.html @@ -27,7 +27,7 @@

Caltech Occluded Faces in the Wild

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Published
2013
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Website
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[ PAGE UNDER DEVELOPMENT ]

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{% include 'dashboard.html' %}

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(ignore) research notes

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Years
1993-1996
Images
14,126
Identities
1,199
Origin
Web Searches
Funded by
ODNI, IARPA, Microsoft

COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].

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[ PAGE UNDER DEVELOPMENT ]

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Who used COFW Dataset?

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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 COFW Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Caltech Occluded Faces in the Wild 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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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. +

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(ignore) research notes

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Years
1993-1996
Images
14,126
Identities
1,199
Origin
Web Searches
Funded by
ODNI, IARPA, Microsoft

COFW is "is designed to benchmark face landmark algorithms in realistic conditions, which include heavy occlusions and large shape variations" [Robust face landmark estimation under occlusion].

We asked four people with different levels of computer vision knowledge to each collect 250 faces representative of typical real-world images, with the clear goal of challenging computer vision methods. The result is 1,007 images of faces obtained from a variety of sources.

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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.

https://www.cs.cmu.edu/~peiyunh/topdown/

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{% include 'map.html' %}

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{% include 'supplementary_header.html' %}

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{% include 'citations.html' %}

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{% include 'chart.html' %}

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TODO

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Biometric Trade Routes

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+ To help understand how COFW Dataset has been used around the world by commercial, military, and academic organizations; existing publicly available research citing Caltech Occluded Faces in the Wild was collected, verified, and geocoded to show the biometric trade routes of people appearing in the images. Click on the location 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 and then dataset usage verified and geolocated.
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Supplementary Information

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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. +

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Who used COFW Dataset?

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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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TODO

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