Polish AI Labs density
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@@ -26,6 +26,8 @@ Raster and vector operation panels use structured group headings, compact helper
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QA/QC, exports and AI lab result panels use shared loading, error, empty and ready state cards. This keeps model registry failures, empty histories and result counts visually consistent across the workbench.
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Detection Lab and Segmentation Lab now share the same AI workspace hierarchy: model capabilities, run controls, persisted results and QA controls are separated into focused surfaces. Existing run, filter, result loading and QA callbacks remain unchanged, but the screens are denser and easier to scan on desktop and mobile.
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## Scope implemented
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- API client layer (`src/services/api`)
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- Project and area list/create flows
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