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FER+

Face Expression Recognition Plus dataset

Introduced in Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution2015

About this Dataset

The FER+ dataset is an extension of the original FER dataset, where the images have been re-labelled into one of 8 emotion types: neutral, happiness, surprise, sadness, anger, disgust, fear, and contempt.

Source: https://github.com/Microsoft/FERPlus Image Source: https://github.com/Microsoft/FERPlus

Source: Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

Dataset Variants

FER+FERPlus

Papers1

Training deep networks for facial expression recognition with crowd-sourced label distribution

This paper shows how to learn a deep convolutional neural network (DCNN) from noisy labels, using facial expression recognition as an example, and compares four different approaches to utilizing the multiple labels.

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Tasks

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Facial Expression Recognition (FER)Facial Expression Recognition

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