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Facial Expression Recognition datasets

archive 2025-07-28

7 datasets carry the task tag "Facial Expression Recognition" (the task itself: Facial Expression Recognition), ordered by the archive's paper count. Page 1 of 1: 7 shown of 7. Facet routes are this site's own (the archive records the tag string, not a page).

The archive holds 12,214 dataset rows; 12,172 are listed. 6 are withheld from every listing and count here as vandalised before snapshot (6 with contact-centre spam in the title, 0 with a spam description on a row that has no homepage, no paper and no papers counted; none with more than 1 paper, 0 with a benchmark), listed in withheld.json; 1 listed row carries a vandalised description, withheld on its page. This gate never withholds a row with a homepage or a paper that resolves, and a clean description; the content rules below withhold a row whose name is spam whatever else it carries. The gate is a phrase list: these are the rows it caught, not a claim that the rest is clean. Before that gate, the site's content rules withhold 36 more rows (invite-code, gambling, travel-booking, contact-centre and similar spam in the name or on a row with nothing real behind it); they have no page and are listed in withheld.json.

Filter 51 task tags shown of 3,717, by dataset count; the full filter by modality, task and language is on /datasets

All 12,172 Question Answering 413Semantic Segmentation 347Object Detection 332Image Classification 283Classification 222Text Classification 167Language Modelling 166Text Generation 162Visual Question Answering (VQA) 144Named Entity Recognition (NER) 130Pose Estimation 124Anomaly Detection 119Action Recognition 115Instance Segmentation 111Sentiment Analysis 104Text Summarization 98Domain Adaptation 96Speech Recognition 96Reading Comprehension 95Information Retrieval 932D Object Detection 92Image Retrieval 87Machine Translation 82Relation Extraction 822D Semantic Segmentation 81Natural Language Inference 81Image Captioning 79Image Generation 79Depth Estimation 77Node Classification 75Natural Language Understanding 72Autonomous Driving 70Code Generation 70Object Tracking 693D Object Detection 67Face Recognition 67Link Prediction 67Person Re-Identification 65Data Augmentation 63Multi-Task Learning 593D Reconstruction 58Common Sense Reasoning 56Recommendation Systems 56Video Understanding 56Optical Character Recognition (OCR) 55Graph Classification 54Abstractive Text Summarization 52Emotion Recognition 52Medical Image Segmentation 52Word Embeddings 52Facial Expression Recognition 7

Facial Expression Recognition datasets 1–7 of 7

AffectNet (burak yılmaz)
AffectNet is a large facial expression dataset with around 0.4 million images manually labeled for the presence of eight (neutral, happy, angry, sad, fear, surprise, disgust, contempt) facial expressions along with the intensity of valence…
ImagesFacial Expression Recognition (FER)Facial Expression RecognitionArousal EstimationValence EstimationContinuous Affect Estimation
323 papers · 4 benchmarks
MELD (Multimodal EmotionLines Dataset)
Multimodal EmotionLines Dataset (MELD) has been created by enhancing and extending EmotionLines dataset.
VideosTextsSpeech Emotion RecognitionEmotion Recognition in ConversationFacial Expression RecognitionMultimodal Emotion Recognition
289 papers · 3 benchmarks
CMU-MOSEI
CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI) is the largest dataset of sentence-level sentiment analysis and emotion recognition in online videos.
ImagesVideosTextsAudioFacial Expression RecognitionEmotion ClassificationMultimodal Emotion RecognitionMultimodal Sentiment AnalysisVideo Emotion Detection
190 papers · 3 benchmarks
RAF-DB (Real-world Affective Faces)
The Real-world Affective Faces Database (RAF-DB) is a dataset for facial expression.
ImagesFacial Expression Recognition (FER)Facial Expression Recognition
172 papers · 3 benchmarks
FER2013 (Facial Expression Recognition 2013 Dataset)
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.
ImagesEmotion RecognitionImage ClusteringFacial Expression Recognition (FER)Image CompressionFacial Expression Recognition
168 papers · 5 benchmarks
Aff-Wild2
Aff-Wild2 is a large-scale in-the-wild database and an extension of the Aff-Wild dataset for affect recognition.
ImagesEmotion RecognitionFacial Expression Recognition (FER)Multi-Task LearningFacial Expression Recognition
142 papers · 2 benchmarks
FER+ (Face Expression Recognition Plus 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.
ImagesFacial Expression Recognition (FER)Facial Expression Recognition
124 papers · 3 benchmarks

Paper counts and descriptions are the archive's, frozen 2025-07-28; no citation counts, no stars, no trending. Sorting by "most cited" or "newest" was a live-site feature the archive does not carry.