Kaggle is the world's largest data science community with powerful tools and resources to help you achieve your data science goals.

The Radboud Faces Database (RaFD) is a set of pictures of 67 models (both adult and children, males and females) displaying 8 emotional expressions.

The dataset consists of images capturing people displaying 7 distinct emotions (anger, contempt, disgust, fear, happiness, sadness and surprise). Each image in ...

4540 open source emotions images plus a pre-trained Facial emotion recognition model and API. Created by uni.

16 авг. 2024 г. · 1. AffectNet. AffectNet is one of the largest datasets for facial affect in still images which covers both categorical and dimensional models.

Facial Expression Recognition (FER) is a computer vision task aimed at identifying and categorizing emotional expressions depicted on a human face.

"Face Expression Recognition Dataset" is a dataset of facial images labeled with the corresponding emotion. This repository contains code for data exploration, ...

LFW emotion dataset is annotated based on LFW (Labeled Faces in the Wild). This dataset consists of two parts and can be used for the following study.

18 апр. 2024 г. · Ascertain is a curated dataset for emotion recognition tasks, featuring diverse facial expressions with detailed annotations. Its ...

30 окт. 2024 г. · It comprehensively analyzes the Facial Emotion Recognition dataset (FER13) to identify defects and correct misclassifications. The FER13 dataset ...