15 datasets found

The dataset used in the paper is a facial expression recognition dataset, which includes images of faces with different expressions.

FER: A dataset for facial expression recognition

The Indian Spontaneous Expression Database for Emotion Recognition is a database of spontaneous facial expressions of both male and female participants of Indian origin.

The Karolinska Directed Emotional Faces (KDEF) dataset consists of 4900 pictures of 70 subjects, each photographed twice in each of the seven facial expressions at five...

The Aff-Wild database is extended by collecting videos from YouTube on which the videos have spontaneous facial expressions in the wild, annotating videos with valence and...

In the context of Human Computer Interaction(HCI), building an automatic system to recognize affect of human facial expression in real-world condition is very crucial to make...

The JAFFE dataset is a collection of images of Japanese faces, each with a specific facial expression. The dataset was created to test the psychological plausibility of a...

The RaFD dataset contains facial expressions with 17 AUs (1, 2, 4, 5, 6, 7, 9, 10, 12, 14, 15, 17, 20, 23, 25, 26 and 45) annotated with intensity values.

Ordinal regression refers to classifying object instances into ordinal categories. It has been widely studied in many scenarios, such as medical disease grading and movie...

The BU-3DFE database contains 3D face scans and images of 100 persons (56 female and 44 male), with varying ages (18-70 years) and diverse ethnic/racial ancestries. Each subject...

The dataset consists of a significant collection of 60,000 facial expression images, categorized into eight different classes, including neutral, happy, angry, sad, fear,...

Facial Expression Recognition (FER) is a classification task that points to face variants. Hence, there are certain affinity features between facial expressions, receiving lit-

The DISFA dataset is a publicly available spontaneous facial expression dataset which contains 27 subjects (12 females, and 15 males) aged in between [18, 50] and ethnically 3...

BP4D is a large-scale spontaneous facial expression database containing 41 subjects with 23 women and 18 men, each of whom is associated with 8 video-recorded tasks.

The dataset used for emotion recognition, featuring facial expression images.