Bengal-HP_RU is the first publicly available head pose dataset for Bengali subjects, with 12,894 images collected from Wikimedia Commons and partitioned by uploader identity.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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cs.CV 3years
2026 3verdicts
UNVERDICTED 3representative citing papers
Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
Humans reach 64.8% accuracy detecting synthetic legal evidence images overall but drop to chance levels on top generators, while MLLMs achieve 100% specificity yet only 5.9% detection on the hardest synthetics, with uncorrelated error patterns.
citing papers explorer
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Bengal-HP_RU: A Dataset of Bengal People For Head Pose Estimation
Bengal-HP_RU is the first publicly available head pose dataset for Bengali subjects, with 12,894 images collected from Wikimedia Commons and partitioned by uploader identity.
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Unmasking LAION-5B: Age, Gender, Race, and Emotion Biases in Large-Scale Image Datasets
Empirical audit of LAION-2B-en and LAION-2B-multi finds overrepresentation of young adults, White people, and males plus stereotypical emotion associations across two attribute classifiers.
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Can You Trust What You See? Human and AI Detection of Synthetic Legal Evidence
Humans reach 64.8% accuracy detecting synthetic legal evidence images overall but drop to chance levels on top generators, while MLLMs achieve 100% specificity yet only 5.9% detection on the hardest synthetics, with uncorrelated error patterns.