Flutter Image classification using TensorFlow

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Have a good day guys. On our previous post, we saw some small intro about the tensorflow. 

Now we're going to see, how we will implement the into the flutter.

You have to add this library in your flutter project. better visit pub.dev

and learn about tflite


Include into your project and start exploring it. 

Definitely you need to some datasets for tflite model, image and lots of datasets available in kaggle.

If you're good in python, you can use google colab or jupyter notebook for converting your model into tflite model.

Wait wait It's not finish, If you want to train your image dataset or you want to make your own image dataset model into tflite model, google offers some services. That's called teachable machine.

you can create your own class model and set the epochs, then get your model as tflite. After that you can even test your model alive. that's a beauty of teachable machine. 

Not just only for image models, you can do with audio and live pose classification without have any code knowledge.

For next blog, you can see some live flutter project for image classification. Keep watching. 

Have a happy Sunday.

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