Age And Gender Recognition Mobile App
Through reviewing and evaluate the existing age and gender recognition mobile apps and their deep learning algorithm, the study found the number of existing age and gender recognition mobile app is very less. This indicates that only a few developers focusing on developing the age and gender r...
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| Main Author: | |
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| Format: | Final Year Project Report |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2023
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| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/44118/1/Wee%20Quo%20Lung%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/44118/4/Wee%20Quo%20Lung%20ft.pdf http://ir.unimas.my/id/eprint/44118/ |
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| Summary: | Through reviewing and evaluate the existing age and gender recognition mobile apps
and their deep learning algorithm, the study found the number of existing age and gender
recognition mobile app is very less. This indicates that only a few developers focusing on
developing the age and gender recognition mobile app. In addition, the User Interface (UI) of
the existing mobile app is unappealing. Therefore, this study aimed to develop age and gender
recognition mobile application using deep learning algorithm. After reviewing existing age and
gender recognition mobile app, Convolutional Neural Network (CNN), one of the deep
learning algorithms is implement in this proposed system. The CNN model is trained by using
UTKFace face dataset which contains 20,000 face images with annotations of age, gender, and
ethnicity. In addition, the app utilizes CNN to analyse facial features and other visual cues to
make its predictions. The functionality of this proposed mobile app is to allow user to upload
photo from gallery. The user simply needs select one image from the gallery, and the app will
predict and display the age and gender of the person in the image. |
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