This dataset is a YOLO format dataset for emotion recognition, designed for training and evaluation of target detection and classification models. 70,000 images,cover 9 facial expression categories, taking into account both basic and complex emotion types, it is suitable for application scenarios such as emotion recognition in computer vision, human-computer interaction, mental health analysis, and intelligent monitoring.

Emoticon categories include:

• Basic emotions: Angry, Happy, Sad, Surprised, Fear, Disgust

• Mixed emotions: Contempt, Natural, Sleepy

Each image is equipped with a .txt Label files contain target categories and bounding box location information, which can be directly used for model training and evaluation, and support the integrated detection and classification of facial expressions.