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New dataset Bengal-HP_RU released for Bengali head pose estimation

Researchers have introduced Bengal-HP_RU, a new dataset designed to address the underrepresentation of South Asian populations in head pose estimation research. This dataset contains over 12,800 labeled images of Bengali individuals, annotated with precise yaw, pitch, and roll values. Collected from Wikimedia Commons and processed with a combination of automated and manual methods, Bengal-HP_RU aims to provide a diverse and realistic 'in-the-wild' dataset for training and testing head pose estimation models. AI

IMPACT Addresses a gap in datasets for head pose estimation, potentially improving model performance for underrepresented populations.

RANK_REASON The cluster contains an academic paper detailing a new dataset for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CV →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

New dataset Bengal-HP_RU released for Bengali head pose estimation

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The cluster contains an academic paper detailing a new dataset for a specific computer vision task. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CV TIER_1 English(EN) · Md. Ahanaf Arif Khan, Md. Tawhidur Rahman, Sangeeta Biswas, Md. Iqbal Aziz Khan, Subrata Pramanik, Sanjoy Kumar Chakravarty, Bimal Kumar Pramanik ·

    Bengal-HP_RU: A Dataset of Bengal People For Head Pose Estimation

    arXiv:2606.24122v1 Announce Type: new Abstract: Existing head pose datasets predominantly feature subjects of Western or East Asian origin, leaving South Asian populations, particularly Bengali individuals, largely underrepresented. We introduce Bengal-HP_RU, the first publicly a…