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Interview project by Kevin J

This project does object detection for cereals using a custom TensorFlowLite model.

The app detects a single object by default, but it is possible to detect more than one at the time. Click on the settings icon on the top right, then Enable multiple objects. This app also works with the frontal camera.

Open the project:

Clone the repository

git clone [email protected]:rndhacker/cereal-object-detection.git
cd cereal-object-detection/android/vision-quickstart
open in Android Studio

open using Android Studio and select the android project located in /android/visionquickstart/app

References

ML Kit github

See a full list of Quickstart apps here.

Sample Video

Download Video Here.

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