Tool 04 · Session 2 · Image

What Does the Machine See?

Feature Extraction & Pixel Resolution — Session 2

Interactive feature extraction workspace

Original
Pixel-reduced representation
Representation
← Fewer pixels (compressed) More pixels (full resolution) →
Grid: — × —
— pixels
Phone camera: ~12,000,000 pixels
Pixel values — center sample
Discussion prompts
  1. At what grid size did you first recognize the image? Which cues were decisive — color, outline, texture, or context?
  2. Switch between Pixels, Edges, and Features on the same image. What does each reveal or hide?
  3. If you only had the numbers in the sample panel, could you name what the image shows?
  4. What could a machine measure in the edge or feature map that a human might ignore?