Build Android app for custom object detection (TF 2.x)

Here {PIPELINE_CONFIG_PATH} points to the pipeline config and {MODEL_DIR} points to the directory in which training checkpoints and events will be written. For best results, you should stop the training when the loss is less than 0.1 if possible, else train the model until the loss does not show any significant change for a while. The ideal loss should be below 0.05 (Try to get the loss as low as possible without overfitting the model. Don't go too high on training steps to try and lower the loss if the model has already converged viz. Ideally, we want the loss to be as low as possible but we should be careful so that the model does not over-fit.