Age Estimation

Age Estimation is the task of estimating the age of a person from an image some other kind of data.

( Image credit: BridgeNet )

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 76–100 of 254 papers

Title	Date	Tasks	Status	Score
A Manually Annotated Image-Caption Dataset for Detecting Children in the Wild	Jun 11, 2025	Age EstimationBenchmarking	CodeCode Available	5
Fair and accurate age prediction using distribution aware data curation and augmentation	Sep 11, 2020	Age EstimationData Augmentation	CodeCode Available	5
Deep Convolutional Neural Network for Age Estimation based on VGG-Face Model	Sep 6, 2017	Age EstimationFace Model	CodeCode Available	5
Continual Active Learning Using Pseudo-Domains for Limited Labelling Resources and Changing Acquisition Characteristics	Nov 25, 2021	Active LearningAge Estimation	CodeCode Available	5
Facial age estimation by deep residual decision making	Aug 28, 2019	Age EstimationDecision Making	CodeCode Available	5
Facial Age Estimation using Convolutional Neural Networks	May 14, 2021	Age EstimationFace Recognition	CodeCode Available	5
Face Aging With Conditional Generative Adversarial Networks	Feb 7, 2017	Age EstimationFace Recognition	CodeCode Available	5
A step towards understanding why classification helps regression	Aug 21, 2023	Age EstimationClassification	CodeCode Available	5
Competing Ratio Loss for Discriminative Multi-class Image Classification	Dec 25, 2019	Age EstimationClassification	CodeCode Available	5
A Bayesian Evaluation Framework for Subjectively Annotated Visual Recognition Tasks	Jun 20, 2020	Age EstimationAttribute	CodeCode Available	5
Fusing Radiomic Features with Deep Representations for Gestational Age Estimation in Fetal Ultrasound Images	Jun 25, 2025	Age Estimation	CodeCode Available	5
Comparing Pre-trained Human Language Models: Is it Better with Human Context as Groups, Individual Traits, or Both?	Jan 23, 2024	Age EstimationLanguage Modeling	—Unverified	0
Classification of Neurodevelopmental Age in Normal Infants Using 3D-CNN based on Brain MRI	Oct 27, 2019	Age EstimationGeneral Classification	—Unverified	0
Assessing the Influencing Factors on the Accuracy of Underage Facial Age Estimation	Dec 2, 2020	Age Estimation	—Unverified	0
Chronological age estimation of lateral cephalometric radiographs with deep learning	Jan 28, 2021	Age EstimationDeep Learning	—Unverified	0
ChatGPT and biometrics: an assessment of face recognition, gender detection, and age estimation capabilities	Mar 5, 2024	Age EstimationFace Recognition	—Unverified	0
Applying Artificial Intelligence for Age Estimation in Digital Forensic Investigations	Jan 9, 2022	Age EstimationDiversity	—Unverified	0
AGE2HIE: Transfer Learning from Brain Age to Predicting Neurocognitive Outcome for Infant Brain Injury	Nov 7, 2024	Age EstimationDeep Learning	—Unverified	0
ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge 2016	Dec 19, 2016	Age EstimationGender Classification	—Unverified	0
CASIA-Face-Africa: A Large-scale African Face Image Database	May 8, 2021	Age EstimationFace Recognition	—Unverified	0
Apparent Age Estimation Using Ensemble of Deep Learning Models	Jun 9, 2016	Age EstimationDeep Learning	—Unverified	0
An Overview of Two Age Synthesis and Estimation Techniques	Jan 26, 2020	Age EstimationFace Verification	—Unverified	0
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation	Oct 20, 2020	Age EstimationBenchmarking	—Unverified	0
BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation	Apr 6, 2019	Age EstimationMORPH	—Unverified	0
Brain Structure Ages -- A new biomarker for multi-disease classification	Apr 13, 2023	Age EstimationAnatomy	—Unverified	0

Show:10 25 50

← PrevPage 4 of 11Next →

All datasets UTKFace CACD MORPH album2 (Caucasian)AFAD AgeDB MORPH Album2 (SE)FGNET MORPH Album2 ChaLearn 2015 mebeblurf ChaLearn 2016 IMDB-Clean

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	5.39	—	Unverified
2	ResNet-50-Regression	MAE	4.72	—	Unverified
3	Randomized Bins	MAE	4.55	—	Unverified
4	ResNet-50-Unimodal-Concentrated	MAE	4.47	—	Unverified
5	ResNet-50-DLDL-v2	MAE	4.42	—	Unverified
6	ResNet-50-Mean-Variance	MAE	4.42	—	Unverified
7	ResNet-50-OR-CNN	MAE	4.4	—	Unverified
8	ResNet-50-DLDL	MAE	4.39	—	Unverified
9	ResNet-50-Cross-Entropy	MAE	4.38	—	Unverified
10	MWR	MAE	4.37	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	5.35	—	Unverified
2	RNDF	MAE	4.6	—	Unverified
3	MWR	MAE	4.41	—	Unverified
4	ResNet-50-Unimodal-Concentrated	MAE	4.1	—	Unverified
5	ResNet-50-Mean-Variance	MAE	4.07	—	Unverified
6	ResNet-50-Regression	MAE	4.06	—	Unverified
7	ResNet-50-OR-CNN	MAE	4.01	—	Unverified
8	ResNet-50-DLDL-v2	MAE	3.96	—	Unverified
9	FaRL+MLP	MAE	3.96	—	Unverified
10	ResNet-50-SORD	MAE	3.96	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	dLDLF	MAE	3.02	—	Unverified
2	DRFs	MAE	2.91	—	Unverified
3	DEX	MAE	2.68	—	Unverified
4	OL	MAE	2.41	—	Unverified
5	BridgeNet	MAE	2.38	—	Unverified
6	AVDL	MAE	2.37	—	Unverified
7	POE	MAE	2.35	—	Unverified
8	OrdinalCLIP	MAE	2.32	—	Unverified
9	DRC-ORID	MAE	2.26	—	Unverified
10	MetaAge	MAE	2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	3.48	—	Unverified
2	ResNet-50-Unimodal-Concentrated	MAE	3.2	—	Unverified
3	ResNet-50-Regression	MAE	3.17	—	Unverified
4	ResNet-50-OR-CNN	MAE	3.16	—	Unverified
5	ResNet-50-Mean-Variance	MAE	3.16	—	Unverified
6	ResNet-50-DLDL-v2	MAE	3.15	—	Unverified
7	ResNet-50-Cross-Entropy	MAE	3.14	—	Unverified
8	ResNet-50-SORD	MAE	3.14	—	Unverified
9	ResNet-50-DLDL	MAE	3.14	—	Unverified
10	FaRL+MLP	MAE	3.12	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	ResNet-50-Regression	MAE	6.23	—	Unverified
2	ResNet-50-Unimodal-Concentrated	MAE	5.9	—	Unverified
3	ResNet-50-Mean-Variance	MAE	5.85	—	Unverified
4	ResNet-50-Cross-Entropy	MAE	5.81	—	Unverified
5	ResNet-50-SORD	MAE	5.81	—	Unverified
6	ResNet-50-DLDL	MAE	5.8	—	Unverified
7	ResNet-50-DLDL-v2	MAE	5.8	—	Unverified
8	ResNet-50-OR-CNN	MAE	5.78	—	Unverified
9	FaRL+MLP	MAE	5.64	—	Unverified
10	MiVOLO-D1	MAE	5.55	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaRL+MLP	MAE	3.04	—	Unverified
2	ResNet-50-OR-CNN	MAE	2.83	—	Unverified
3	ResNet-50-Regression	MAE	2.83	—	Unverified
4	ResNet-50-Mean-Variance	MAE	2.83	—	Unverified
5	ResNet-50-DLDL-v2	MAE	2.82	—	Unverified
6	ResNet-50-Cross-Entropy	MAE	2.81	—	Unverified
7	ResNet-50-SORD	MAE	2.81	—	Unverified
8	ResNet-50-DLDL	MAE	2.81	—	Unverified
9	ResNet-50-Unimodal-Concentrated	MAE	2.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	AEBFI	MAE	52	—	Unverified
2	Zhu et al. (Actual)	MAE	4.58	—	Unverified
3	DRFs	MAE	3.85	—	Unverified
4	CMAAE-OR	MAE	3.62	—	Unverified
5	DEX	MAE	3.09	—	Unverified
6	C3AE (WIKI-IMDB)	MAE	2.95	—	Unverified
7	BridgeNet	MAE	2.56	—	Unverified
8	MWR	MAE	2.23	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CORAL	MAE	2.59	—	Unverified
2	Hierarchical Attention-based Age Estimation (SE)	MAE	2.53	—	Unverified
3	MegaAge (w. IMDB-WIKI)	MAE	2.52	—	Unverified
4	DLDL+VGG-Face (KL, Max)3	MAE	2.42	—	Unverified
5	MWR	MAE	2	—	Unverified
6	DLDL-v2 (ThinAgeNet)	MAE	1.97	—	Unverified
7	MataAge	MAE	1.81	—	Unverified
8	Hierarchical Attention-based Age Estimation (RS)	MAE	1.13	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MWR	MAE	2.95	—	Unverified
2	DLDL+VGG-Face	e-error	0.31	—	Unverified
3	DLDL-v2 (ThinAgeNet)	e-error	0.27	—	Unverified
4	AgeNet	e-error	0.27	—	Unverified
5	DEX	e-error	0.26	—	Unverified
6	BridgeNet	e-error	0.26	—	Unverified
7	MetaAge	e-error	0.25	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	OrdinalCLIP	Accuracy	61.2	—	Unverified
2	POE	Accuracy	60.5	—	Unverified
3	SORD	Accuracy	59.6	—	Unverified
4	GP-DNNOR	Accuracy	57.4	—	Unverified
5	CNNPOR	Accuracy	57.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FaRL+MLP	MAE	3.38	—	Unverified
2	Mean-Variance	e-error	0.29	—	Unverified
3	DLDL-v2 (ThinAgeNet)	e-error	0.27	—	Unverified
4	MetaAge	e-error	0.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FP-Age	Average mean absolute error	4.68	—	Unverified
2	VOLO-D1 age&gender	Average mean absolute error	4.22	—	Unverified
3	MiVOLO-D1	Average mean absolute error	4.09	—	Unverified
4	MiVOLO-V2	Average mean absolute error	3.97	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MiVOLO-D1	MAE	3.99	—	Unverified
2	MiVOLO-V2	MAE	3.65	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FP-Age	Average mean absolute error	6.81	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CMAAE-OR	MAE	1.48	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Inception Time	Mean absolute error	8.3	—	Unverified