Image Processing
Lab 2.5: Image Processing
Section titled “Lab 2.5: Image Processing”Extract text and insights from visual content
Start the Lab
Section titled “Start the Lab” Process visual content
/CC.m2.lb5 What You’ll Learn
Section titled “What You’ll Learn”- Describe how image quality factors (lighting, angle, clarity) affect processing results and apply practical capture techniques
- Demonstrate Claude Code’s vision capabilities to extract text from photographed whiteboards and interpret diagram structures
- Create structured notes from unstructured visual content, supplementing AI extraction with manual context where needed
Key Concepts
Section titled “Key Concepts”| Concept | Description |
|---|---|
| Image Quality | Lighting, angle, and clarity directly affect extraction accuracy and should be evaluated before processing. |
| Vision Capabilities | Claude Code can read text from photographs and interpret visual elements like diagrams and handwriting. |
| Context Enhancement | Providing context about what the image contains improves Claude Code’s interpretation accuracy. |
| Diagram Interpretation | Beyond text extraction, Claude Code can describe relationships, hierarchies, and structures in visual content. |
| Uncertainty Handling | Honest extraction means acknowledging unclear sections rather than guessing, then supplementing with human knowledge. |
| Structured Output | Transforming extracted visual content into organised, searchable documentation with proper metadata. |
What You’ll Create
Section titled “What You’ll Create”whiteboard-notes.md- Extracted text and structured notes from strategy whiteboard
Eureka Moment
Section titled “Eureka Moment”“It actually read Hodl’s handwriting! Well… most of it. But that’s more than I expected!”
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