Facial Emotion Detection Dataset

The Facial Emotion Detection Dataset is a collection of images of individuals with two different emotions - happy and sad. The dataset was captured using a mobile phone camera and contains photos taken from different angles and backgrounds.
<br>
The dataset contains a total of 637 photos with an additional dataset of 127 from previous work. Out of the total, 402 images are of happy faces, and 366 images are of sad faces. Each individual had a minimum of 10 images of both expressions.
<br>
The project faced challenges in terms of time constraints and people's constraints, which limited the number of individuals who participated. Despite the limitations, the dataset can be used for deep learning projects and real-time emotion detection models.
Future work can expand the dataset by capturing more images to improve the accuracy of the model. The dataset can also be used to create a custom object detection model to evaluate other types of emotional expressions.
<br>

面部情绪检测数据集（Facial Emotion Detection Dataset）是一类收录两类情绪个体面部图像的数据集，涵盖开心与悲伤两种情绪。该数据集通过手机摄像头采集，包含不同拍摄角度与背景的照片。
本数据集共计包含637张照片，另附有来自过往研究的127张补充图像。其中402张为开心面部图像，366张为悲伤面部图像，每位受试者均至少拥有对应两种情绪的各10张图像。
本项目曾受限于时间与人力约束，导致参与图像采集的受试者人数受限。尽管存在上述局限，该数据集仍可应用于深度学习项目及实时情绪检测模型的构建。
后续研究可通过采集更多图像扩充该数据集，以提升模型的识别精度。此外，该数据集还可用于构建定制化目标检测模型，以评估其他类型的情绪表达。