amzn/computer-vision-basics-in-microsoft-excel resource

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2427 stars · 249 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A tutorial repository that teaches computer vision fundamentals using algorithms implemented purely with Microsoft Excel formulas, covering topics like face detection, edge detection, and the Hough transform. It includes downloadable .xlsx files and requires no scripts or third-party plugins.

Use cases

• learn computer vision basics without programming
• understand how face detection algorithms work step by step
• teach image processing concepts in a classroom using Excel
• visualize edge detection and line detection on spreadsheet images
• get an intuitive introduction to CV algorithms like the Hough transform
• explore how images can be represented and manipulated as spreadsheet cells

When to choose

• you want a gentle, math-light introduction to computer vision concepts
• you already know Excel basics but have no programming or CV background
• you are an educator looking for a novel way to demonstrate CV algorithms visually
• you prefer learning through interactive, step-by-step spreadsheet manipulation

When to avoid

• you need production-ready computer vision code or libraries
• you want to build real CV applications rather than understand concepts
• you do not have access to Microsoft Excel or a compatible spreadsheet application
• you need GPU-accelerated or deep-learning-based computer vision tooling

Facets

learning-resource · maturity stable

computer-vision image-processing computer-vision education tutorials windows cross-platform excel spreadsheets face-detection edge-detection hough-transform no-code teaching-material education macos

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