The data consists of 48x48 pixel grayscale images of faces. The faces have been automatically registered so that the face is more or less centred and ...

Fer2013 contains approximately 30,000 facial RGB images of different expressions with size restricted to 48×48, and the main labels of it can be divided ...

Learn facial expressions from an image.

The FER2013 (Facial Expression Recognition 2013) dataset contains images along with categories describing the emotion of the person in it.

The current state-of-the-art on FER2013 is ResEmoteNet. See a full comparison of 13 papers with code.

FER2013 Dataset. Note. This dataset can return test labels only if fer2013.csv OR icml_face_data.csv are present in root/fer2013/ . If only train.csv and ...

13 июн. 2024 г. · The FER+ annotations provide a set of new labels for the standard Emotion FER dataset. In FER+, each image has been labeled by 10 crowd-sourced taggers.

1 мар. 2024 г. · This dataset imbalance poses significant implications for the evaluation of deep learning models trained on FER2013, as performance metrics may ...

This research proposes the design of a system that can predict and recognize the classification of facial emotions based on feature extraction using the ...

The dataset contains 1055 total images; among these, 543 are normal foot images, and the others are images of abnormal feet of the patient. The study's dataset ...