Open data case studies
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iHero - using facial recognition in First World War photo collections
iHero is a web application that used facial recognition technology to search photos of Australian Fisrt World War service men and women. Users of iHero upload a photos to begin a search. The appliation uses facial analytics to determine which photos from a number of major library collections are a match. The interface is clean and simple, and includes a quick search and a deeper search, which produces more more results. The facial recognition techniques explored in this entry can be used across a wide range of applications enabling photos sitting in archives and family shoe boxes to identified and described.
Search results include:
- the match confidence (ex. 90%)
- detected characteristics (gender, glasses, smile, age)
- the matching images with a bounding box to indicate the person matched against (for images with multiple people included)
iHero was created as part of GovHack 2016 by Hack To The Future
iHero uses data from:
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