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.
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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.
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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.
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面部情绪检测数据集（Facial Emotion Detection Dataset）是一组包含两种不同情绪（开心和悲伤）的个体图像集合。该数据集通过手机摄像头采集，涵盖了从不同角度和背景拍摄的照片。

该数据集共包含637张照片，另附127张来自先前研究的补充数据。总计中，402张为开心表情图像，366张为悲伤表情图像。每位参与者的两种表情均至少有10张图像。

项目面临时间限制和人员限制的挑战，这制约了参与个体的数量。尽管存在这些局限，该数据集仍可用于深度学习项目和实时情绪检测模型。未来的工作可通过采集更多图像来扩展数据集，以提升模型的准确性。该数据集还可用于构建自定义目标检测模型，以评估其他类型的情绪表达。