Image Classification App | Teachable Machine + TensorFlow Lite
We're going to create an image classification Android app from start to finish that can distinguish between bananas, oranges, and more when given an image!
You'll learn how to train a machine learning model using Google's Teachable Machine, then deploy and use the TensorFlow Lite model in an Android app.
Learn how to code a custom TensorFlow Machine Learning model in Python and deploy it in your Android app: • Custom TensorFlow Model for Image Cla...
XML Code (GitHub Gist): https://gist.github.com/ishaanjav/857...
MainActivity.java (GitHub Gist): https://gist.github.com/ishaanjav/4fe...
GitHub repository for app (leave a star!): https://github.com/IJ-Apps/Image-Clas...
Check out the E-rrigation app on the Google Play Store:
https://play.google.com/store/apps/de...
Check out my Face Analyzer app on the Google Play Store: https://play.google.com/store/apps/de...
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*IJ Apps GitHub Page: https://github.com/IJ-Apps
*Personal GitHub Page with Projects: https://github.com/ishaanjav
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0:00 Demo
0:18 Teachable Machine
2:48 Deploying TFLite Model in Android Studio
4:25 Making the app
7:48 Using TFLite Model for Image Classification
14:00 Real-time Finished Demo
14:46 Conclusion