Object detection app using YOLOv8 and Android

Step 1 (Train and export Object detection model):

git clone https://github.com/AarohiSingla/Object-Detection-Android-App.git
Train yolov8 model on custom dataset and export it in .tflite format. (Check train_export_yolov8_model.ipynb )

Open android_app folder.
Put your .tflite model and .txt label file inside the assets folder. You can find assets folder at this location: android_app\android_app\app\src\main\assets
Rename paths of your model and labels file in Constants.kt file. You can find Constants.kt at this location: android_app\android_app\app\src\main\java\com\surendramaran\yolov8tflite
Download and install Android Studio from the official website (https://developer.android.com/studio)
Once installed, open Android Studio from your applications menu.
When Android Studio opens, you'll see a welcome screen. Here, you'll find options to create a new project, open an existing project, or check out project from version control.Since you already have a project, click on "Open an existing Android Studio project".
Navigate to the directory where your project is located and select the project's root folder.
Build and Run

This project includes the andrroid app code from the following repository:

Special thanks to link-to-original-author-profile for their contribution.