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46 lines
1.0 KiB
Markdown
46 lines
1.0 KiB
Markdown
# Skill: QA/QC Review
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Use this skill for comparing predicted geospatial outputs against reference layers such as GRB buildings.
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## Read first
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- `docs/QA_QC_SPECIFICATION.md`
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- `docs/QA_QC_ENGINE.md`
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- `docs/qaqc/ANTI_REGRESSION_RULES.md`
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- `docs/API_EXAMPLE_RESPONSES.md`
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## QA/QC rules
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- Reference data and predicted data must remain separate.
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- Matching thresholds must be explicit.
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- False positives and false negatives must be exportable.
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- Metrics must be reproducible from stored inputs.
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- Do not hide low-confidence results; classify or flag them.
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## Core metrics
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- IoU.
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- Precision.
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- Recall.
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- F1.
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- Matched count.
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- Unmatched reference count.
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- Unmatched prediction count.
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## Implementation checklist
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- [ ] Define matching method.
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- [ ] Implement geometry overlap calculation.
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- [ ] Calculate metrics.
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- [ ] Persist or return QA results.
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- [ ] Create GeoJSON outputs for matched/unmatched classes.
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- [ ] Add fixture-based tests.
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## Completion report fields
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- Matching method.
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- Thresholds.
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- Metrics returned.
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- Fixtures used.
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- Known QA limitations.
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