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

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 and scale variations for authentic in-the-wild facial data.- Aligned Faces: Standardized 112x112 pixel images with facial landmarks normalized to consistent positions, facilitating model training on facial identity features. Processing Parameters- Face Detector: MTCNN with 0.85 confidence threshold- Minimum Face Resolution: 100x100 pixels- Deduplication: ResNet-34 embeddings (128-dim) with 0.54 similarity threshold- Blur Filtering: Laplacian Variance metric, threshold 80.0- Frame Sampling: 1 frame per 10 frames- Video Resolution: Minimum 720p Image Category Distribution Category Video Counts Image Counts Category Percentage Festival 9 247 15.20% University 9 319 19.63% Travel 15 642 39.51% Market 4 207 12.74% Public Events 3 162 9.97% Lifestyle 1 14 0.86% Education 1 23 1.42% Historical Place 1 8 0.49% Documentaries 2 3 0.18% OrganizationSequential IDs (000001-001625) are organized by category, video, and then by frame order. The image_metadata.csv and video_metadata provide complete traceability, linking each image to the source video, category, and frame ID. The parameters.json file contains all the processing parameters used to create the dataset. The file is uploaded as "BanglaFace_Dataset.zip, and the corresponding directory structure is as follows: BanglaFace_Dataset/├── images/ # 1,625 raw face images (000001.jpg - 001625.jpg)├── aligned_images/ # 1,625 aligned face images (000001.jpg - 001625.jpg)└── metadata/ └── image_metadata.csv # Complete image metadata └── video_metadata.csv # Complete video metadata └── parameters.json # Processing parameters Use CasesThis dataset is suitable for:- Face inpainting and completion tasks- Facial recognition and verification systems- Face alignment and landmark detection- Generative model training (GANs, VAEs)- Face attribute analysis- Demographic studies on facial characteristics