Open up this Colab Notebook to Train TensorFlow Lite Model.
If you have an unlabeled dataset, you can learn how to label with best practices with this post on how to label images with CVAT, LabelImg, VoTT, or LabelMe. If you don’t have a dataset, you can follow along with a free Public Blood Cell Detection Dataset. tflite file that you can use in the official TensorFlow Lite Android Demo, iOS Demo, or Raspberry Pi Demo. In this tutorial, we will train an object detection model on custom data and convert it to TensorFlow Lite for deployment. Whether for mobile phones or IoT devices, optimization is an especially important last step before deployment due to their lower performance. If you need a fast model on lower-end hardware, this post is for you. In this post, we walk through the steps to train and export a custom TensorFlow Lite object detection model with your own object detection dataset to detect your own custom objects.