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Model trained based on whether the person is young , middle or old age.

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AV_Age Detection

Challenge link : https://datahack.analyticsvidhya.com/contest/practice-problem-age-detection/

Task:

The dataset is cleaned and formatted to give you a total of 26742 images with 19906 images in train and 6636 images in test. The task is to predict the age of a person from his or her facial attributes. For simplicity, the problem has been converted to a multiclass problem with classes as Young, Middle and Old.

Approach:

Deep CNN with/without dropout
Training Accuracy - 85.24 %
Testing Accuracy - 78.15 %
LeaderBoard score - 0.7897830018

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Model trained based on whether the person is young , middle or old age.

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