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Collections for Automatic Image Annotation and Photo Tag Recommendation

机译:自动图像注释和照片标签推荐的集合

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This paper highlights a number of problems which exist in the evaluation of existing image annotation and tag recommendation methods. Crucially, the collections used by these state-of-the-art methods contain a number of biases which may be exploited or detrimental to their evaluation, resulting in misleading results. In total we highlight seven issues for three popular annotation evaluation collections, i.e. Corel5k, ESP Game and IAPR, as well as three issues with collections used in two state-of-the-art photo tag recommendation methods. The result of this paper is two freely available Flickr image collections designed for the fair evaluation of image annotation and tag recommendation methods called Flickr-AIA and Flickr-PTR respectively. We show through experimentation and demonstration that these collection are ultimately fairer benchmarks than existing collections.
机译:本文重点介绍了现有图像注释和标签推荐方法的评估中存在的许多问题。至关重要的是,这些最新方法所使用的集合包含许多偏见,这些偏见可能会被利用或有损于它们的评估,从而导致产生误导性的结果。总的来说,我们重点介绍了Corel5k,ESP Game和IAPR这三个流行的注释评估收藏集的七个问题,以及两个最先进的照片标签推荐方法所使用的收藏集的三个问题。本文的结果是设计了两个免费的Flickr图像集,分别用于公平评估图像注释和标签推荐方法,称为Flickr-AIA和Flickr-PTR。通过实验和演示,我们证明这些集合最终比现有集合更公平。

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