Name: AI Image Recognition Lab
Author: MySimulator

Auto-tagging policy

Classification confidence threshold: 80%

This case study models a shelf-image recognition system identifying products and out-of-stock gaps across 400 store shelf photos a day. Above the confidence threshold, the classification is trusted and auto-logged; below it, a human auditor confirms the tag.

Daily outcome

Auto-tagged images—

Auto-tagged with wrong label—

Auditor hours needed—

Images by confidence (blue = auto-tagged, red ring = misclassified)