BabyRobot Emotion Database (BRED) This dataset includes extracted data from videos of children performing emotions. The dataset has a total of 215 samples and includes: Skeletons extracted by OpenPose. Facial landmarks extracted by the [OpenFace toolkit](OpenFace toolkit) Features extracted by a ResNet 50 network pretrained in the AffectNet database. Features are in PyTorch format. Annotations by three different annotators. The annotations are hierarchical and apart from the ground truth emotion, denote if the child used its body and/or face for performing the emotion. Note that there is an error in the annotations.csv file. Replace "spontaneous" in the path with "game" and "acted" with "pre-game" to get the correct paths. We also provide the code on Github. The accompanied paper can be found on arXiv.