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CK+ (Extended Cohn-Kanade dataset)

Introduced in The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression1 Jan 2010 archive 2025-07-28

The Extended Cohn-Kanade (CK+) dataset contains 593 video sequences from a total of 123 different subjects, ranging from 18 to 50 years of age with a variety of genders and heritage. Each video shows a facial shift from the neutral expression to a targeted peak expression, recorded at 30 frames per second (FPS) with a resolution of either 640x490 or 640x480 pixels. Out of these videos, 327 are labelled with one of seven expression classes: anger, contempt, disgust, fear, happiness, sadness, and surprise. The CK+ database is widely regarded as the most extensively used laboratory-controlled facial expression classification database available, and is used in the majority of facial expression classification methods.

Source: EmotionNet Nano: An Efficient Deep Convolutional Neural Network Design for Real-time Facial Expression Recognition

Homepage Benchmarks Papers JSON

Benchmarks archive 2025-07-28

All 2 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)	Paper	Code
Facial Expression Recognition (FER)	CK+	EmoNeXt Accuracy (8 emotion) 100	A novel deep learning approach for facial emotion...	yelboudouri/EmoNeXt	7	Compare
Face Verification	CK+	SphereFace Accuracy 93.80	SphereFace: Deep Hypersphere Embedding for Face Recognition	wy1iu/sphereface +21	1	Compare

Papers archive 2025-07-28

8 shown of 8 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 238. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

			Date	Samples run Syntology
A novel deep learning approach for facial emotion recognition: application to detecting emotional responses in elderly individuals with Alzheimer’s disease	1	1	30 Dec 2024	not harvested
PAtt-Lite: Lightweight Patch and Attention MobileNet for Challenging Facial Expression Recognition	1	1	16 Jun 2023	not harvested
Learning Vision Transformer with Squeeze and Excitation for Facial Expression Recognition	0	1	7 Jul 2021	not harvested
Using Self-Supervised Auxiliary Tasks to Improve Fine-Grained Facial Representation	0	1	13 May 2021	not harvested
Frame attention networks for facial expression recognition in videos	2	1	29 Jun 2019	not harvested
Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network	3	1	4 Feb 2019	not harvested
SphereFace: Deep Hypersphere Embedding for Face Recognition	22	1	26 Apr 2017	ran 1 of 2 samples (1 unverified; 1 pointer-only for licence)
FaceNet2ExpNet: Regularizing a Deep Face Recognition Net for Expression Recognition	0	1	21 Sep 2016	not harvested

Dataset loaders archive 2025-07-28

users/KCN77tfpytorch

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

Tasks archive 2025-07-28

Facial Expression Recognition (FER)Face Verification

License archive 2025-07-28

Custom (non-commercial)

Modalities archive 2025-07-28

Videos

Languages archive 2025-07-28

English

Variants archive 2025-07-28

1 variant name, as the archive lists them.

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