Over the past decade, independent evaluations have become common in many areas of experimental computer science, including face and gesture recognition. A key attribute of many successful independent evaluations is a curated data set. Desired aspects associated with these data sets include appropriateness to the experimental design, a corpus size large enough to allow statistically rigorous characterization of results, and the availability of comprehensive meta-data that enable inferences to be made on various data set attributes. (Publisher abstract modified)
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