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https://github.com/rid17pawar/imageclassificationapp

This is an Image Classification App developed in Android Studio using Kotlin language. It uses a pre-trained TensorFlow Lite model to classify different images.
https://github.com/rid17pawar/imageclassificationapp

ai android image kotl mobilenet tensorflow tensorflowli

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This is an Image Classification App developed in Android Studio using Kotlin language. It uses a pre-trained TensorFlow Lite model to classify different images.

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# ImageClassificationApp_first

## What is Image Classification ?
The task of identifying what an image represents is called Image Classification. An image classification model is trained to recognize various classes of images.

## About This App
This is an Image Classification App developed in Android Studio using Kotlin language. It uses pre-trained TensorFlow Lite model to classify different images. This model accepts an input of 224x224 pixel images. It can classify an image correctly on an average of 60% of the time.

The model that I have used in this app is available here [mobilenet_v1_1.0_224_quant_and_labels](https://www.tensorflow.org/lite/examples/image_classification/overview).

## Screenshots

### Main Activity:

![ImageClassificationApp_1](https://github.com/rid17pawar/ImageClassificationApp_first/blob/master/readme_images/ImageClassificationApp_1.png)

### Predictions:

![ImageClassificationApp_2](https://github.com/rid17pawar/ImageClassificationApp_first/blob/master/readme_images/ImageClassificationApp_2.png)

![ImageClassificationApp_3](https://github.com/rid17pawar/ImageClassificationApp_first/blob/master/readme_images/ImageClassificationApp_3.png)