Gender Classification from Facial Images - Performing the classification of Gender from the facial Images and implementing the same on the Real Time

Rastogi, Aakash

doi:10.22214/ijraset.2018.6218

Cited by 2 publications

(2 citation statements)

References 5 publications

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“…A rudimentary neural network model [7] is included, which employs best techniques such as SVM, KNN, and Haar cascade to improve age prediction accuracy. They used the TensorFlow framework and the Keras open-source deep learning package.…”

Section: Age and Gender Based Organisation Of Shelter Homes Using Convolutional Neural Networkmentioning

confidence: 99%

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Age and Gender Based Organisation of Shelter Homes using Convolutional Neural Networks

Suresh¹,

Venkatesh²,

S³

et al. 2021

IJEAT

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The number of abandoned, homeless and poor people have increased drastically in the recent days. Allotting these people to different shelter home is a very difficult task because volunteers in NGO have to do all the work manually and homeless people don’t have valid documentation regarding their Age and Gender. Volunteers usually estimate the person’s Age and Gender on the basis of naked eye estimation but this estimation or prediction sometimes will not be accurate. This problematic situation can be solved by using Deep Learning algorithm like Convolutional Neural Network (CNN). So in our project, we use CNN algorithm to estimate the Age and Gender from the facial image which proves to be a challenging task for a machine due to the high extent of variability, lighting and other supporting conditions. The system proposes building a model which has multiple convolutional layers along with dropout and maxpooling layers in between. The proposed model has been trained on UTKFace dataset and Fairface dataset. The proposed system aims to produce a high accuracy in allotting the right shelter home for people under various Age and Gender. The web application also accepts donations from the users visiting the website who are willing to help the shelter home residents.

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Section: Age and Gender Based Organisation Of Shelter Homes Using Convolutional Neural Networkmentioning

confidence: 99%

“…They used the Google and IMDB datasets in [10] and used the Wrinkle analysis, Adam optimizer, and Haar cascade algorithm, similar to [7], which delivered the maximum level of precision and accuracy.…”

Section: Age and Gender Based Organisation Of Shelter Homes Using Convolutional Neural Networkmentioning

confidence: 99%