AI Tutorials

Learn how to get started

Get started

All you need to know to start your development

Set up the Raspberry Pi AI Camera

In this video, we guide you through the Raspberry Pi AI Camera installation, and how to run a SSD MobileNet object detection model.

Buy the AI Camera

AI Camera guide

image illustrating the Compatibility and optimization tutorial

Compatibility and optimization overview

A guide to the workflow, tools, and limitations involved when preparing and converting a new AI model for the Raspberry Pi AI Camera.

image illustrating the prepare and deploy AI models tutorial

Prepare and deploy AI models

Get an overview of the tools that are used in an AI Framework Environment and how to setup them up to adapt and deploy models to your Raspberry Pi AI Camera.

Guided tutorials

Find more guided tutorials here

image illustrating tutorial for Model optimization

Model optimization

Follow along with examples using Model Compression Toolkit (MCT) to quantize pretrained models for deployment on IMX500.

See the tutorial on GitHub

image illustrating tutorial for retraining object detection models

Exporting Ultralytics YOLOv8 models

This guide covers exporting and deploying Ultralytics YOLOv8 models to Raspberry Pi AI Camera.

Follow the guide here

image illustrating tutorial for retraining classification models

Retrain classification models

This tutorial guides you step by step through training and quantizing a MobileNet model with a custom dataset.

See the tutorial on GitHub

Run the tutorial on Google Colab

image illustrating tutorial for retraining object detection models

Retrain object detection models

Learn how to train and quantize NanoDet with a custom dataset for IMX500 in this step by step tutorial.

See the tutorial on GitHub

Run the tutorial on Google Colab