Using anonymized photo albums, predict if a human evaluator would mark them as good.
We have a large collection of user-generated photos. We want to automatically pick out particularly enjoyable or impressive ones to highlight, especially travel-related, using only the meta-data associated with the images such as caption text, image dimensions and approximate location in the world.
We know from our preliminary experiments and intuition that certain words and places are correlated with good photos, and others are indicators of less enjoyable pictures, but we would like to develop an algorithm to tie together these multiple signals.
Objective
Given anonymized information on thousands of photo albums, predict whether a human evaluator would mark them as 'good'.
Ends: Sunday 20 November 2011
Prize:
$5,000
See www.kaggle.com/c/PhotoQualityPrediction
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