TensorFlow Lite image classification Android example application

Overview

Here is a link to the blog on this repo https://medium.com/@parthplc/car-classification-with-tensorflowlite-ee1772f1d7de

This is an example application for TensorFlow Lite on Android. It uses [Image classification] to continuously classify Cars it sees from the device's back camera. Inference is performed using the TensorFlow Lite Java API.For now due to some issue this only claasify into five classes
1.Manufacturer : BMW Make : model_10
2.Logo : Audi
3.Logo : Chevrolet
4.Manufacturer: MarutiSuzuki Make : Swift
5.Manufacturer: MarutiSuzuki Make : WagonR

Requirements

• Android Studio 3.2 (installed on a Linux, Mac or Windows machine)

• Android device in developer mode with USB debugging enabled

• USB cable (to connect Android device to your computer)

Build and run

Step 1. Clone the TensorFlow examples source code

Clone the TensorFlow examples GitHub repository to your computer to get the application.

git clone https://github.com/vapyc/Car-Classify-with-Tensorflowlite

Step 2. Build the Android Studio project

Step 3. Install and run the app