Navigate to /mydrive/customTF2/data/ and Unzip the images.zip and annotations.zip files into the data folder.

Clone the TensorFlow models git repository & Install TensorFlow Object Detection API.

Upload the generate_tfrecord.py file to the customTF2 folder in your drive.

Create and upload your image files and XML files.

Create customTF2, training, and data folders in your google drive.

( But first ✅Subscribe to my YouTube channel 👉🏻 😁😜) Since TFLite has support for only SSD models at the moment, we will be using an SSD model here) (The first 16 steps are the same as my previous article on training an ML model using TF 2. In this article, I will be training an object detection model for a custom object and converting it to a TFlite model so it can be deployed on Android, iOS, IoT devices. Objective: Build Android app for custom object detection

Deploy the TFlite model on Android / iOS / IoT devices using the sample TFLite object detection app from TensorFlow’s GitHub.

Export and convert the model into TFlite(TensorFlow Lite) format.Edit the model pipeline config file and download the pre-trained model checkpoint.(need generate_tfrecord.py script and CSV files for this) Generate the TFRecord files required for training.Install the TensorFlow Object Detection API.Collect the dataset of images and label them to get their XML files.USE THE FOLLOWING VERSION REFERENCE APP USED IN THIS TUTORIAL: THIS IS FOR THE LATEST VERSION TENSORFLOW APP. apk file for the Android app.Training a Deep Learning model for custom object detection using TensorFlow Object Detection API in Google Colab and converting it to a TFLite model for deploying on mobile devices like Android, iOS, Raspberry Pi, IoT devices using the sample TFLite object detection app from TensorFlow’s GitHub. The files are sent to the build server and are used to build the. Click Build now or click Modify build, if you have already built the app at least once.Optional: Expand the Advanced section below the App branding section:.

See also Auto-incrementing app build version. In the Version field, enter the release version for your app.Optional: Expand the Advanced section within the Android Platform section:.To display the list, you might have to click Modify build. If a certificate set has already been defined, in the Certificate set list, select an existing certificate set.In the Platforms section, turn on the Android switch.In the Mobile app type property, click Custom.In the Configuration section, enter a name for the Android mobile app.In the Create new channel interface section, click Mobile.

Custom android app builder