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)

标题：
孟加拉国部落面部特征数据集，用于民族分类研究

描述：
本数据集收录了来自孟加拉国两个土著部落社区——加罗族和查克马族的面部特征数据。旨在通过机器学习（ML）和深度学习（DL）技术促进民族分类研究。数据集以CSV格式呈现，包含详尽的面部特征标注，以支持多样化的AI驱动任务，包括分类、聚类和识别等。

关键特性：
1. 数据内容：面部特征信息（例如：肤色、面部轮廓、眼睛特征等）以数值和分类方式编码，适用于ML和DL应用。
2. 民族多样性：包含来自多个孟加拉国部落群体的样本，以确保民族多样性和代表性。
3. 目的：专为民族分类、社会人类学研究以及AI伦理学应用而设计。
格式：CSV文件（.csv）