Image Classification App | Teachable Machine + TensorFlow Lite

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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.

Check out the E-rrigation app on the Google Play Store:

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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
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Is there a possible way that the photo can provide more information such as it's description and benefits and other information?

kianrenzlukeromitares
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love you bro! thanks a lot your video is the reason my project is alive!

swayamparte
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hi, I have an error, when i select images from gallery the app shuts down, what can i do to fix?

gloriamasengo
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greate tutorial! this can help my project for my capstone hehhee

isabelastateuniversitysanm
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Was stuck for 5 hours...helped lots, thx

shivamkak
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I have one doubt from this video.. How you are try to finding maxpos and confidence..??? How you decide whether this class positions or confidence is give results as apple or banana???? Kindly reply to my answer please😢

VPR_
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Great video and great explanation! This is of so much help.

anotherrubi
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which version of android studio you are running? plzz reply

simranbuvra
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Thank you so much. We want more video like this.

hasim
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Excellent video, very well explained.

I have a problem, I followed all the steps but when I run the application and take a photo, the application closes and does not show me the results, any solution? thank you

FRANKANTHUANCERONMALDONADO
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I'm integrating my LSTM model to the app I'm creating. I followed your code in getting the output. I am getting NaN outputs. What could be the problem?

alexandramariepascual
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Great tutorial. thanks. can we modify it into real time assessing the confidence value?

chamikasesathbandara
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Nice video bro, can you make a real-time object detection the one with bounding boxes and labels in Android studio using TFLite?

healersage
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Hi! Thanks for the great video! May I ask how do I link my android emulator camera to a real life camera such as yours? Mine just show a virtual environment when I tried to test out the scanning part.

LuqmanJuzaili
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Excellent initiative! How could I import a .tflite file already created and generated by yolo?

danilodutra
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Great tutorial. You got a new subscriber 👍 Thank you !

ctegh
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I have a question. I've tested my actual model and the TFlite model in Python and they show the same results, but when I deployed it through Android Studio, it shows a different prediction result, it seems I have a problem with the input while playing along with the input code. How can I improve it?

dentitanium
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Please add the option of upload image also.
Like when we open the app we should have two options
Take photo or upload image from gallery.

techinfo
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I have always gotten scared when comes to Artificial Intelligence but this seem straight forward

mbuguanjane
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come up with other videos sir good jop

amankinde