59 datasets found

Groups: Facial Expression Recognition Organizations: No Organization

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  • MMI Facial Expression Database

    The MMI Facial Expression Database contains 38 labeled posed smiles.

  • BBC Database

    The BBC database contains 20 videos, recorded in 314 × 286 pixels with 25 frames per second.

  • UVA-NEMO Smile Database

    The UVA-NEMO Smile Database contains 597 spontaneous and 643 posed smile videos.

  • RealSmileNet: A Deep End-To-End Network for Spontaneous and Posed Smile Recog...

    Smiles play a vital role in the understanding of social interactions within different communities, and reveal the physical state of mind of people in both real and deceptive...

  • Extended Cohn–Kanade (CK+) dataset

    The Extended Cohn–Kanade (CK+) dataset is a large-scale facial expression recognition dataset containing 2,065 images of 215 subjects displaying 8 basic emotions.

  • Radboud Faces Database (RaFD)

    The Radboud Faces Database (RaFD) is a high-quality faces database containing pictures of 67 models (including Caucasian males and females, Caucasian children, both boys and...

  • BU-3DFE

    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...

  • AffectNet

    The AffectNet dataset is a facial expression dataset, consisting of images of faces with emotional expressions.

  • SFEW

    The SFEW dataset is a subset of EmotiW2015 in-the-wild emotion dataset.

  • EmotioNet

    Label distribution learning on auxiliary label space graphs for facial expression recognition.

  • AffectNet

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

  • RAF-DB

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

  • DISFA

    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

    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.

  • FER+

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

  • Occlusion-RAF-DB and Pose-RAF-DB

    The Occlusion-RAF-DB and Pose-RAF-DB datasets are occlusion and pose test subsets.

  • Real-world Affective Face Database (RAF-DB) 2.0

    The Real-world Affective Face Database (RAF-DB) 2.0 is a dataset collected from the internet.

  • Point Adversarial Self Mining

    The proposed PASM integrates the idea of point adversarial attack and teacher-student optimization strategy, making them collaborate together in an iterative way.

  • FER2013

    FER2013 is a crowdsourced dataset. Each image was individually labeled by 40 taggers for the sake of rigor.