Smart Camera ML AI - Firebase

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Firebase Image Labelling Used.
Artificial Intelligence and machine learning

Objects Detection Machine Learning TensorFlow Demo.
Uses the Google TensorFlow Machine Learning Library Inception model to detect object with camera frames in real-time, displaying the label and overlay on the camera image.


What is TensorFlow?
TensorFlow is open source machine learning library from Google. Computation code is written in C++, but programmers can write their TensorFlow software in either C++ or Python and implemented for CPUs ,GPUs or both.

In November 2015, Google announced and open sourced TensorFlow, its latest and greatest machine learning library. This is a big deal for three reasons:

1.Machine Learning expertise: Google is a dominant force in machine learning. Its prominence in search owes a lot to the strides it achieved in machine learning.
2.Scalable : the announcement noted that TensorFlow was initially designed for internal use and that it’s already in production for some live product features.
3.Ability to run on Mobile.

This last reason is the operating reason for this post since we’ll be focusing on Android. If you examine the tensorflow repo on GitHub, you’ll find a little tensorflow/examples/android directory. I’ll try to shed some light on the Android TensorFlow example and some of the things going on under the hood.
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What's New

- Smart Image Labelling
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Additional Information

Updated
June 15, 2018
Size
18M
Installs
500+
Current Version
1.2
Requires Android
4.4 and up
Content Rating
Everyone
Permissions
Offered By
Gold Rush
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