FER GiMeFive

该数据集是一个专门从五个面部表情数据集中整合定制而成的集合，它专注于展现六种情绪的人类面部表情。该数据集包含标注有六种情绪（0代表快乐，1代表惊讶，2代表悲伤，3代表愤怒，4代表厌恶，5代表恐惧）的图像，旨在提高情绪识别模型的泛化能力和鲁棒性。数据规模包括55,073张用于训练的图像，8,333张用于测试的图像，以及600张用于验证的图像（每个情绪类别100张），任务目标是面部情绪识别。

This is a customized dataset integrated from five facial expression datasets, focusing on human facial expressions corresponding to six emotions. The dataset contains images annotated with the six emotions, where 0 represents happiness, 1 represents surprise, 2 represents sadness, 3 represents anger, 4 represents disgust, and 5 represents fear. It is designed to improve the generalization ability and robustness of emotion recognition models. In terms of data scale, it includes 55,073 training images, 8,333 test images, and 600 validation images (100 images per emotion category). The task objective is facial emotion recognition.