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Turath-150K: Image Database of Arab Heritage. (arXiv:2201.00220v1 [cs.CV])
Jan. 4, 2022, 9:10 p.m. | Dani Kiyasseh, Rasheed El-Bouri
cs.CV updates on arXiv.org arxiv.org
Large-scale image databases remain largely biased towards objects and
activities encountered in a select few cultures. This absence of
culturally-diverse images, which we refer to as the hidden tail, limits the
applicability of pre-trained neural networks and inadvertently excludes
researchers from under-represented regions. To begin remedying this issue, we
curate Turath-150K, a database of images of the Arab world that reflect
objects, activities, and scenarios commonly found there. In the process, we
introduce three benchmark databases, Turath Standard, Art, and …
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