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Images of people showing eight different emotions, face dataset.
Explore and run machine learning code with Kaggle Notebooks | Using data from Facial Expression Recognition (FER)Challenge.
A dataset of images capturing people displaying 7 distinct emotions, for emotion recognition and analysis. The dataset is available on request, and includes information about people, such as gender, age, and country.
This web page is supposed to provide a dataset for face expression recognition, but it crashes and shows an error message. Kaggle is a data science platform that offers tools and resources for data science projects.
Aug 16, 2024 · Best Datasets for Emotion Detection in 2024. Below here, we are listing down top eight dataset that are available for emotion detection. 1. AffectNet is one of the largest datasets for facial affect in still images which covers both categorical and dimensional models.
HSEmotion is a repository of code and models for face emotion recognition in photos and videos. It contains state-of-the-art models for AffectNet, AFEW, VGAF and other datasets, as well as papers and notebooks for training and testing.
Aug 22, 2023 · Learn how to build a real-time facial emotion recognition system using a custom VGG13 model and the FER+ dataset. Explore the importance, applications, and challenges of this interdisciplinary subfield of computer vision and machine learning.