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Tensorflow model for determining age

We need a Tensorflow lite model that works with Android made to determine the age of a person. The person's image will be sent through a live camera feed where the model will need to accurately determine the age within a fraction of a second. We suggest following the tensorflow for poets tutorial. We need the model to output an age in the following categories:






These 5 categories need to predict a person's age with 90% accuracy. Example: if someone who is 34 is seen in front of the camera the output of the model needs to be 30-40 9 out of 10 times the person is captured. This will be the test we perform to ensure reasonable accuracy is met.

The final submission needs to be just 2 things:

a .pb file that is the tensorflow model

a .txt file that is the categories needed for the model

We will offer more details once the correct freelancer is found, before the project starts.

The dataset the freelancer can use is available here: [login to view URL]

*you may use other open source datasets you feel are good.

The Tensorflow for poets tutorial:

[login to view URL]

[login to view URL]

The ideal freelancer:

- Will have experience with machine learning

- Will have some professional background creating models to label images before

- Will have experience working with tensorflow and tensorflow lite

- Will have experience in image recognition algorithms

- Ideally have a an independent GPU or a very fast machine

Квалификация: Image Processing, Машинное обучение, Tensorflow

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О работодателе:
( 5 отзыв(-а, -ов) ) Shenfield, United Kingdom

ID проекта: #18610440



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