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OtherOpen Access

BanglaFace: An In-the-Wild Bangladeshi Facial Image Dataset

Author Affiliations
University of Dhaka
Published InZenodo (CERN European Organization for Nuclear Research)
Year2026

Abstract

This dataset consists of 1,625 unique high-quality facial images of Bangladeshi demographics extracted from 45 YouTube videos across 9 content categories. All of these images were collected from publicly available videos, which have been listed in video_metadat.csv. No additional personal or confidential information is included. These images are curated for face inpainting, facial recognition, and generative modeling. The dataset features both raw in-the-wild and geometrically aligned face representations with comprehensive metadata. Summary Statistics of the Dataset- Total Images: 1,625 unique individuals (deduplicated from 80,137 raw detections)- Source Videos: 45 across 9 categories- Total Duration: 22 hours 22 minutes 24 seconds- Demographics: Bangladeshi population Raw vs Aligned Images- Raw Faces: Original crops from video frames via MTCNN detection, retaining natural pose…
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