Dataset Containing Frame Images of Indian Candidates during Interview for Confidence Level Estimation

The dataset contains a set of 4754 images of Indian candidates during interviews, which can be used for various machine learning and computer vision applications, such as face recognition, emotion detection, eye moment, face direction, and gender recognition. The dataset contains more than 170 images of each Indian candidate during interviews, captured in various settings, including indoor and outdoor locations, with different lighting conditions and backgrounds. Each image is in JPEG format. Furthermore, each candidate is denoted by his/her id number, in total there are 21 candidates with their labeled confidence (1)/ unconfidence(0). The dataset is labeled considering various features of the candidates, such as face direction, facial expression, and eye moment. These labels can be used for supervised learning tasks, such as classification or regression. The dataset is diverse in terms of the gender and age of the candidates, making it suitable for training machine learning models.

本数据集收录4754张印度面试者的面试影像，每位面试者的样本量均超过170张，拍摄场景涵盖室内与户外，且具备不同的光照条件与背景环境。本数据集可广泛应用于各类机器学习与计算机视觉任务，涵盖人脸识别、情绪检测、眼神动态、面部朝向识别以及性别识别等方向。所有图像均采用JPEG格式存储。此外，每位面试者均以唯一编号标识，总计包含21名面试者，其标注标签分为自信（1）与不自信（0）两类。本数据集基于面试者的多项特征完成标注，包括面部朝向、面部表情与眼神动态，这些标注可用于分类、回归等监督学习任务。该数据集在面试者的性别与年龄分布上具备多样性，适配机器学习模型的训练需求。