Train a custom object detection model using your data

Learn how to train a custom object detection model for Raspberry Pi to detect less common objects like versions of a logo using your own collection of data. 00:00 Introduction 00:49 The 3 steps of training a custom model 01:24 Step 1: Create a training dataset 04:01 Step 2: Train a custom model with TensorFlow Lite Model Maker 09:03 Step 3: Deploy the custom model to Raspberry Pi 11:08 What’s next Colab notebook to train a custom object detection model → Sample app to run the object detection model on Raspberry Pi → Android figurine dataset → Explaining “average precision” → Transfer learning → Responsible AI → Choose an object detection model architecture for Raspberry Pi → Make object detection run faster by using Coral → https://goo.