Facial-classification-using-CNN-and-MATLAB-according-to-gend
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
Cite As
mugambi ndwiga (2023). Facial-classification-using-CNN-and-MATLAB-according-to-gend (https://github.com/zombimann/Facial-classification-using-CNN-and-MATLAB-according-to-gender), GitHub. Retrieved .
MATLAB Release Compatibility
Platform Compatibility
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- Image Processing and Computer Vision > Computer Vision Toolbox > Recognition, Object Detection, and Semantic Segmentation >
Tags
Acknowledgements
Inspired by: Age and Gender Estimation from Face
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1.0.0 |
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