Facial-classification-using-CNN-and-MATLAB-according-to-gend

Versión 1.0.0 (871 KB) por mugambi ndwiga
This code trains a CNN using a collection of facial images that are cropped and aligned. Verification with new images gives an accuracy of 8
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Actualizado 11 sep 2019
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1. genderNet.m is the main script. It carries out loading; splitting into training and verification datasets; pre-processing; training; verification; and error analysis.

2. genderNetFun.m is a function to define the layers and parameters of the CNN.

3. Datasets is the dataset folders (I'm not sure whether it can be seen here but I'll upload it to guthub

4. myfun.m is the @readFun for the imagedatastore.

Dataset originally derived from https://www.mathworks.com/matlabcentral/fileexchange/72577-age-and-gender-estimation-from-face

Citar como

mugambi ndwiga (2024). Facial-classification-using-CNN-and-MATLAB-according-to-gend (https://github.com/zombimann/Facial-classification-using-CNN-and-MATLAB-according-to-gender), GitHub. Recuperado .

Compatibilidad con la versión de MATLAB
Se creó con R2018b
Compatible con cualquier versión
Compatibilidad con las plataformas
Windows macOS Linux
Categorías
Más información sobre Recognition, Object Detection, and Semantic Segmentation en Help Center y MATLAB Answers.
Agradecimientos

Inspirado por: Age and Gender Estimation from Face

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