UppuluriKalyani / ML-Nexus

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Dual-Purpose Model for Age and Gender Prediction from image Using Transfer Learning with VGG16 #579

Closed Kaibalya27 closed 2 weeks ago

Kaibalya27 commented 2 weeks ago

Is your feature request related to a problem? Please describe. Currently, there is a lack of a streamlined model that can accurately predict both age and gender from a single image input. Models generally treat these predictions separately, requiring individual models for each task. This not only increases computational load but also fails to leverage shared feature representations, which could improve accuracy and efficiency.

Describe the solution you'd like A unified, dual-output model capable of predicting both age and gender from a single facial image. Leveraging the Functional API with a transfer learning approach using VGG16 as the base model can provide efficient, multi-task learning. The model should:

Describe alternatives you've considered

Additional context This model would provide a highly efficient and accurate way to predict age and gender simultaneously, with applications in demographic analysis, user personalization, and content targeting. Leveraging transfer learning with VGG16 will enhance the model’s performance on limited training data and ensure faster convergence.

github-actions[bot] commented 2 weeks ago

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github-actions[bot] commented 2 weeks ago

Thanks for raising this issue! However, we believe a similar issue already exists. Kindly go through all the open issues and ask to be assigned to that issue.

Kaibalya27 commented 2 weeks ago

@UppuluriKalyani please check, there is no issue similar to this

github-actions[bot] commented 2 weeks ago

Hello @Kaibalya27! Your issue #579 has been closed. Thank you for your contribution!