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Object Detection

🎉 Just Announced: Introduction to Machine Learning Systems will be published by MIT Press in 2026!
💻 Fully open source at mlsysbook.ai
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🔥 Latest release: TinyTorch
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Preface
Author’s Note
About the Book
Book Changelog
Acknowledgements
SocratiQ AI
Foundations
1 Introduction
2 ML Systems
3 DL Primer
4 DNN Architectures
Design Principles
5 AI Workflow
6 Data Engineering
7 AI Frameworks
8 AI Training
9 Efficient AI
10 Model Optimizations
11 AI Acceleration
12 Benchmarking AI
Best Practices
13 ML Operations
14 On-Device Learning
15 Security & Privacy
16 Responsible AI
17 Sustainable AI
18 Robust AI
Impact and Outlook
19 AI for Good
20 Conclusion
Overview
Getting Started
Nicla Vision
Setup
Image Classification
Object Detection
Keyword Spotting (KWS)
Motion Classification and Anomaly Detection
XIAO ESP32S3
Setup
Image Classification
Object Detection
Keyword Spotting (KWS)
Motion Classification and Anomaly Detection
Grove Vision AI V2
Setup and No-Code Applications
Image Classification
Object Detection
Raspberry Pi
Setup
Image Classification
Object Detection
Small Language Models (SLM)
Vision-Language Models (VLM)
Shared Labs
KWS Feature Engineering
DSP Spectral Features
PhD Survival Guide
References

Object Detection

This Lab is under Development

Image Classification

Raspberry Pi

Written, edited and curated by Prof. Vijay Janapa Reddi (Harvard University)

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