Ballot Image Test Data: Scanned New York State Ballots

Obtaining access to hand-marked ballots created by voters for use in real elections appears to be problematic due to various legal constraints. As part of our work on the PERFECT project, we are conducting various data collection activities that will give us access to similar sorts of markings created in less restrictive contexts. We plan to make these data freely available as a service to the research community.

The ballot images below are anonymous write-in votes from the November 8, 2006 general election and earlier primaries in New York State. They were collected by George Nagy, one of the project co-PI's, from the Rensselaer County Board of Elections and scanned by Anne Miller, a graduate student at Rensselaer Polytechnic Institute.

Button New York State ballot 20080223132310423.tif.
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Button New York State ballot district_13.tif.
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Button New York State ballot district_21.tif.
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Button New York State ballot district_21sec2.tif.
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Button New York State ballot district_25.tif.
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Button New York State ballot district_27.tif.
        (TIF image, 3,119kb)

Button New York State ballot district_33.tif.
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Button New York State ballot district_42.tif.
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Button New York State ballot district_n_a.tif.
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Button New York State ballot e_gbush_11.tif.
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Button New York State ballot e_gbush_12.tif.
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Button New York State ballot schaghticoke_4.tif.
        (TIF image, 1,549kb)

PERFECT is an acronym that stands for "Paper and Electronic Records for Elections: Cultivating Trust." PERFECT is a multidisciplinary research effort aimed at studying the reliable processing of paper ballots and other hardcopy election records. Participating institutions include Lehigh University, Boise State University, Muhlenberg College, and Rensselaer Polytechnic Institute. Click here to return to the PERFECT homepage.

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PERFECT is funded in part by the National Science Foundation under award numbers NSF-0716368, NSF-0716393, NSF-0716647, NSF-0716543. Any opinions, findings, and conclusions or recommendations expressed on this website are the investigators' and do not necessarily reflect those of the National Science Foundation.