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.

本数据集汇聚了4754幅印度候选人在面试过程中的照片，适用于多种机器学习和计算机视觉应用，例如人脸识别、情绪检测、眼神捕捉、面部朝向以及性别识别。数据集中包含了每位印度候选人在面试过程中的超过170幅照片，这些照片在多种环境下拍摄，包括室内与室外场所，并处于不同的光照条件和背景之中。每张图像均以JPEG格式存储。此外，每位候选人均以其身份编号进行标记，总计21位候选人及其标注的置信度（1）/不置信度（0）。数据集在标注过程中综合考虑了候选人的多种特征，如面部朝向、面部表情和眼神捕捉。这些标签可用于监督学习任务，例如分类或回归。就候选人的性别和年龄而言，本数据集具有多样性，适用于训练机器学习模型。