What you’ll learn
- Two-pass model pricing per asset
- A break-even chart for in-house vs Idukki tagging
- Token + image cost projections at 1k, 10k, 100k, 1M assets
- How to keep human-in-the-loop only for low-confidence cases
Chapter previews
- Chapter 01
Two-pass tagging explained
Pass 1: low-cost detection. Pass 2: high-precision recognition only when confidence > threshold.
- Chapter 02
Cost at scale
A worksheet you can fill with your own library size.
- Chapter 03
When to keep humans in the loop
The 12% of assets where vision still loses to a human eye.
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- Two-pass model pricing per asset
- A break-even chart for in-house vs Idukki tagging
- Token + image cost projections at 1k, 10k, 100k, 1M assets
