Context-Aware Emotion Recognition

Large-Scale Static & Dynamic Emotion Recognition Benchmark
ICCV 2019

CAER

Anger
Fear
Disgust
Happy
Sad
Surprise
Neutral

Overview

We introduce a CAER benchmark consisting of more than 13,000 videos

This benchmark contains more than 13,000 annotated videos.
You can use CAER benchmark to train deep convolution neural networks for emotion recognition.
The videos are annotated with an extended list of 7 emotion categories.

Annotation process

This research was supported by Next-Generation Information Computing Development Program through the National Research Foundation of Korea(NRF) funded by the Ministry of Science and ICT (NRF-2017M3C4A7069370)