Bangladeshi Tribal Faces: A Dataset for Machine Learning and Deep Learning Applications

Title:
Facial Attributes Dataset of Bangladeshi Tribes for Ethnic Classification Research

Description:
This dataset comprises facial attribute data collected from individuals belonging to two indigenous tribal communities in Bangladesh GARO and CHAKMA. It aims to facilitate research in ethnicity classification using machine learning (ML) and deep learning (DL) techniques. The dataset is presented in CSV format and includes detailed facial attribute annotations to support diverse AI-driven tasks, including classification, clustering, and recognition.

Key Features:
1. Data Content: Facial attribute information (For example: skin tone, facial shape, eye features, etc.) encoded numerically and categorically for ML and DL applications.
2. Ethnic Diversity: Includes samples from multiple Bangladeshi tribal groups to ensure ethnic diversity and representation.
3. Purpose: Designed for applications in ethnicity classification, social anthropology research, and AI ethics.
Format: CSV file (.csv)