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Datasets › FER2013

FER2013 (Facial Expression Recognition 2013 Dataset)

Introduced by Ian J. Goodfellow et al. in Challenges in Representation Learning: A report on three machine learning contests1 Jan 2013 archive 2025-07-28

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 into 7 types: 0=Angry, 1=Disgust, 2=Fear, 3=Happy, 4=Sad, 5=Surprise, 6=Neutral. The Disgust expression has the minimal number of images – 600, while other labels have nearly 5,000 samples each.

Source: Eavesdrop the Composition Proportion of Training Labels in Federated Learning Image Source: https://medium.com/@birdortyedi_23820/deep-learning-lab-episode-3-fer2013-c38f2e052280

HomepageBenchmarksPapers JSON

Benchmarks archive 2025-07-28

All 5 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

First row (archive order)PaperCode
Facial Expression Recognition (FER) FER2013 EfficientFER Accuracy 82.47 EfficientFER: EfficientNetv2 Based Deep Learning... mkonuk66/EfficientFER 17 Compare
Facial Expression Recognition FER2013 VGG Accuracy 72.7 Facial Expression Recognition using Convolutional Neural... amilkh/cs230-fer +3 3 Compare
Emotion Recognition FER2013 VGG based 5-class test accuracy 66.13% IdentiFace : A VGG Based Multimodal Facial Biometric System MahmoudRabea13/IdentiFace 1 Compare
Image Clustering FER2013 TURTLE (CLIP + DINOv2) Accuracy 36.2 Let Go of Your Labels with Unsupervised Transfer mlbio-epfl/turtle 1 Compare
Image Compression FER2013 SUDHEER 10% 1 Deep Convolutional Neural Network for Image Deconvolution — 1 Compare

Papers archive 2025-07-28

19 shown of 19 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 168. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
EfficientFER: EfficientNetv2 Based Deep Learning Approach for Facial Expression Recognition 1 1 2 Jun 2025 not harvested
SDAFE: A Dual-filter Stable Diffusion Data Augmentation Method for Facial Expression Recognition 0 1 6 Apr 2025 not harvested
Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered Design 0 2 30 Jan 2025 not harvested
EmoNeXt: an Adapted ConvNeXt for Facial Emotion Recognition 1 1 14 Jan 2025 not harvested
ResEmoteNet: Bridging Accuracy and Loss Reduction in Facial Emotion Recognition 1 1 1 Sep 2024 not harvested
Let Go of Your Labels with Unsupervised Transfer 1 1 11 Jun 2024 ran 3 of 4 samples (1 unverified; 4 pointer-only for licence)
IdentiFace : A VGG Based Multimodal Facial Biometric System 1 1 2 Jan 2024 not harvested
A novel facial emotion recognition model using segmentation VGG-19 architecture 1 1 24 Mar 2023 not harvested
Ad-Corre: Adaptive Correlation-Based Loss for Facial Expression Recognition in the Wild 1 1 3 Mar 2022 not harvested
Fer2013 Recognition - ResNet18 With Tricks 1 1 29 Dec 2021 not harvested
Local Multi-Head Channel Self-Attention for Facial Expression Recognition 1 1 14 Nov 2021 not harvested
Facial Emotion Recognition: State of the Art Performance on FER2013 2 1 8 May 2021 not harvested
Facial Expression Recognition using Residual Masking Network 1 2 5 May 2021 not harvested
Convolutional Neural Network Hyperparameters optimization for Facial Emotion Recognition 2 1 25 Mar 2021 not harvested
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network 3 1 4 Feb 2019 not harvested
Local Learning with Deep and Handcrafted Features for Facial Expression Recognition 0 1 29 Apr 2018 not harvested
Facial Expression Recognition using Convolutional Neural Networks: State of the Art 4 3 9 Dec 2016 not harvested
Deep Convolutional Neural Network for Image Deconvolution 0 1 1 Dec 2014 not harvested
Challenges in Representation Learning: A report on three machine learning contests 12 1 1 Jul 2013 ran 0 of 12 samples (12 unverified)

Dataset loaders archive 2025-07-28

pytorch.org/vision/stable/generated/torchvision.datasets.FER2013.htmlpytorch/visionpytorch
docs.activeloop.ai/datasets/fer2013-datasetactiveloopai/Hubtfpytorch

2 loaders as listed in the archive; links are outbound and not re-checked here.

Tasks archive 2025-07-28

Emotion RecognitionImage ClusteringFacial Expression Recognition (FER)Image CompressionFacial Expression Recognition

License archive 2025-07-28

Unknown

Modalities archive 2025-07-28

Images

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • FER2013

1 variant name, as the archive lists them.

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