SOTAVerified

Age And Gender Classification

Age and gender classification is a dual-task of identifying the age and gender of a person from an image or video.

( Image credit: Multi-Expert Gender Classification on Age Group by Integrating Deep Neural Networks )

Papers

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Showing 1–10 of 34 papers

TitleStatusHype
BN-AuthProf: Benchmarking Machine Learning for Bangla Author Profiling on Social Media TextsCode0
A Hybrid Transformer-Sequencer approach for Age and Gender classification from in-wild facial images—0
Beyond Specialization: Assessing the Capabilities of MLLMs in Age and Gender EstimationCode3
MiVOLO: Multi-input Transformer for Age and Gender EstimationCode2
Moving Window Regression: A Novel Approach to Ordinal RegressionCode1
Age and Gender Classification with Small Scale CNN—0
Dynamic Adaptive Spatio-temporal Graph Convolution for fMRI ModellingCode1
Generalizing MLPs With Dropouts, Batch Normalization, and Skip ConnectionsCode1
Benchmarking Bias Mitigation Algorithms in Representation Learning through Fairness MetricsCode1
Towards Measuring Fairness in AI: the Casual Conversations Dataset—0
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All datasetsAdience AgeAdience GenderBN-AuthProf

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1Multinomial Naive Bayes (MNB)F1 score0.91—Unverified