Field dataApr 30, 20266 min read

The store-audit playbook: photos AI can learn from

Angles, lighting, labeling. How we teach Heroes to capture retail shelves so the data is actually usable downstream.

A blurry, badly-lit shelf photo is worthless to a model. Here's the playbook we give Heroes so retail audits come back as data you can actually train on.

Angles, light, and labels

Straight-on framing, even lighting, and a consistent labelling convention turn a casual snapshot into a structured sample. Small disciplines, huge downstream payoff.

Consistency at scale

When a hundred Heroes shoot the same way, the dataset holds together. The playbook is really a shared language for capture.

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