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ImageSeeker: An Image Classification Library by

Bappy Ahmed


ImageSeeker is a deep learning image classification library written in Python, running on top of the machine learning platform TensorFlow.Keras. It was developed with a focus on enabling fast experimentation of images classification. You can train & classify any image with any classification model in Keras appliaction without writing any line of code.

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Everything you need is up and running on website! Choose one of our open source service, free to download source code, and easy to use! Start ImageSeeker!

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Why ImageSeeker?


Simple

ImageSeeker reduces developer time of writing too much code of any image classification problem so that they focus on the parts of the problem that really matter.

Flexible

Keras adopts the principle of progressive disclosure of complexity: simple workflows should be quick and easy that’s why ImageSeeker is Flexible.

Powerful

Keras provides industry-strength performance and scalability: so we can use ImageSeeker in the production.

Made with Love

What you need to do is just have to define your data path & some of the parameters of the model yes, your work will be done!

Free Download Source Code & More Info!

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