Harsh-636/traffic_sign_classifier

A Flutter application for classifying traffic signs using a CNN model trained on GTSRB image dataset.

Traffic Sign Classifier App

A new Flutter application which can classify traffic signs into their types. Import the project from version control in Android Studio or VSCode, build an APK file and install it to run.

• Built a CNN model, trained on the GTSRB image dataset and implemented in Flutter using TensorflowLite
• Used ImagePicker for using images in-app, TFlite for running the model inside Flutter SDK, and animation packages.

Getting Started

• Lab: Write your first Flutter app
• Cookbook: Useful Flutter samples
• image_picker Flutter package
• tflite Flutter package
• GTSRB Dataset

For help getting started with Flutter, view our online documentation, which offers tutorials, samples, guidance on mobile development, and a full API reference.