feat: simplify regional workbench language

CHANGELOG.md

@@ -16,7 +16,9 @@
 - Preserved separate Mol/regional series keys and honest partial-sector population and 10 m forest-area limitations.
 - Replaced internal provider identifiers with readable source labels in the primary map.
 - Added a provenance-gated full-Area query path for official pre-clipped datasets, avoiding redundant intersection of every feature against the same detailed municipal/regional boundary while preserving exact rectangle selection behavior.
-- Added focused scope filtering, command construction, boundary resolution, multi-NIS provenance, packaging and frontend-label tests.
+- Reduced a live complete-Kempen population/forest analysis from roughly 92 seconds to 2.8 seconds of API work while retaining the exact official totals.
+- Grouped dated population and forest snapshots into one current source plus an optional historical disclosure, translated remaining user-facing status/download/model-evaluation text and made municipality selection explicitly optional.
+- Added focused scope filtering, command construction, boundary resolution, multi-NIS provenance, full-Area correctness, temporal-language and frontend-label tests; the full readiness gate now passes with 571 tests.
 
 ## Sprint 193 End-user regional workbench simplification (2026-07-14)
 

backend/app/services/temporal_analysis_service.py

@@ -200,7 +200,7 @@ class TemporalAnalysisService:
             return (
                 TemporalObjectChanges(available=False),
                 {"type": "FeatureCollection", "features": []},
-                ["Object-level changes are unavailable because the source does not guarantee stable feature identifiers."],
+                ["Wijzigingen van individuele objecten kunnen voor deze bron niet betrouwbaar worden gevolgd."],
             )
 
         normalized_bbox = VectorFeatureService._normalize_selection_bbox(bbox)

backend/tests/test_sprint133_detection_threshold_calibration_ux.py

@@ -15,19 +15,19 @@ def test_detection_lab_exposes_persisted_threshold_calibration_comparison() -> N
 
     assert "qualityChecks: QualityCheckRead[]" in source
     assert "buildCalibrationRows(detectionRuns, qualityChecks)" in source
-    assert "Calibration comparison" in source
+    assert "Kalibraties vergelijken" in source
-    assert "Compare persisted detection runs by confidence threshold" in source
+    assert "Vergelijk bewaarde analyseruns per zekerheidsdrempel" in source
-    assert "Best F1 candidate" in source
+    assert "Beste F1-score" in source
-    assert "Best precision candidate" in source
+    assert "Beste precisie" in source
-    assert "Lowest false-positive pressure" in source
+    assert "Minste foutieve meldingen" in source
-    assert "Threshold" in source
+    assert "Drempel" in source
-    assert "Precision" in source
+    assert "Precisie" in source
     assert "Recall" in source
     assert "F1" in source
-    assert "False positives" in source
+    assert "Fout positief" in source
-    assert "False negatives" in source
+    assert "Fout negatief" in source
-    assert "Promote only after checking evidence across AOIs" in source
+    assert "Keur pas goed nadat meerdere gebieden" in source
-    assert "No calibration comparison available yet" in source
+    assert "Nog geen kalibratievergelijking beschikbaar" in source
     assert "metricValue(check, 'f1')" in source
     assert "metricValue(check, 'precision')" in source
     assert "metricValue(check, 'recall')" in source

backend/tests/test_sprint175_detection_review_hardening.py

@@ -100,8 +100,8 @@ def test_detection_results_table_uses_bounded_local_pagination() -> None:
     assert "visibleDetectionItems" in lab
     assert "detectionItems.slice" in lab
     assert "Detection result pagination" in lab
-    assert "Previous detection results page" in lab
+    assert "Vorige resultatenpagina" in lab
-    assert "Next detection results page" in lab
+    assert "Volgende resultatenpagina" in lab
     assert "formatSourceTilePath(detection.source_tile_path)" in lab
     assert 'title={detection.source_tile_path ?? undefined}' in lab
     assert "pagination-toolbar" in styles

backend/tests/test_sprint187_temporal_map_foundation.py

@@ -274,6 +274,26 @@ def test_temporal_compare_returns_delta_and_canonical_change_payload(monkeypatch
     assert result.geojson["type"] == "FeatureCollection"
 
 
+def test_unstable_temporal_identity_returns_clear_end_user_warning() -> None:
+    project_id = uuid4()
+    earlier = temporal_dataset(project_id=project_id, observed_year=2021)
+    later = temporal_dataset(project_id=project_id, observed_year=2025)
+    earlier.source_metadata["identity_stable"] = False
+    later.source_metadata["identity_stable"] = False
+
+    changes, geojson, warnings = TemporalAnalysisService._compare_identity_features(
+        SimpleNamespace(),
+        earlier=earlier,
+        later=later,
+        bbox={"min_x": 5.0, "min_y": 51.1, "max_x": 5.2, "max_y": 51.3},
+        preview_limit=100,
+    )
+
+    assert changes.available is False
+    assert geojson == {"type": "FeatureCollection", "features": []}
+    assert warnings == ["Wijzigingen van individuele objecten kunnen voor deze bron niet betrouwbaar worden gevolgd."]
+
+
 def test_temporal_frontend_and_official_operator_contracts_exist() -> None:
     workspace = (ROOT / "frontend/src/components/map/MapWorkspace.tsx").read_text(encoding="utf-8")
     temporal_api = (ROOT / "frontend/src/services/api/temporal.ts").read_text(encoding="utf-8")

backend/tests/test_sprint189_kempen_scope.py

@@ -131,7 +131,7 @@ def test_kempen_scope_operator_is_packaged_and_exposed_in_map_flow() -> None:
     assert "Kempen (28 gemeenten)" in workspace
     assert 'aria-label="Regio"' not in workspace
     assert 'aria-label="Ingeladen regiobereik"' in workspace
-    assert "Gemeente of volledige regio" in workspace
+    assert "Snel naar een gemeente (optioneel)" in workspace
     assert "projects={projects}" in app
     map_props = app.split("<MapWorkspace", maxsplit=1)[1].split("/>", maxsplit=1)[0]
     assert "onSelectProject={selectProject}" not in map_props

backend/tests/test_sprint193_end_user_workbench.py

@@ -17,7 +17,7 @@ def test_regional_workspace_is_automatic_and_map_has_one_scope_selector() -> Non
     assert regional_check < municipality_check
     assert 'aria-label="Regio"' not in map_workspace
     assert 'aria-label="Ingeladen regiobereik"' in map_workspace
-    assert "Gemeente of volledige regio" in map_workspace
+    assert "Snel naar een gemeente (optioneel)" in map_workspace
     assert 'aria-label="Werkgebied"' in map_workspace
 
 

backend/tests/test_sprint194_regional_timeseries.py

@@ -184,11 +184,22 @@ def test_regional_timeseries_operator_is_packaged_and_release_checked() -> None:
 def test_end_user_dataset_sources_are_human_readable() -> None:
     display = (ROOT / "frontend/src/lib/datasetDisplay.ts").read_text(encoding="utf-8")
     workspace = (ROOT / "frontend/src/components/map/MapWorkspace.tsx").read_text(encoding="utf-8")
+    catalog = (ROOT / "frontend/src/components/datasets/DatasetPanel.tsx").read_text(encoding="utf-8")
+    status = (ROOT / "frontend/src/components/WorkbenchStatusStrip.tsx").read_text(encoding="utf-8")
+    detection = (ROOT / "frontend/src/components/detection/DetectionLab.tsx").read_text(encoding="utf-8")
+    exports = (ROOT / "frontend/src/components/exports/ExportCenter.tsx").read_text(encoding="utf-8")
 
     assert "department_omgeving_land_use: 'Departement Omgeving'" in display
     assert "statbel: 'Statbel'" in display
     assert "getDatasetSourceDisplayName(activeThemeDataset)" in workspace
     assert "dataset ? getDatasetSourceDisplayName(dataset)" in workspace
+    assert "Snel naar een gemeente (optioneel)" in workspace
+    assert "latestDatasetBySeries" in catalog
+    assert "Historische meetmomenten" in catalog
+    assert "getDatasetSourceDisplayName(dataset)" in catalog
+    assert "statusLabel(item.state)" in status
+    assert "Technische modelevaluatie" in detection
+    assert "Nog geen downloads gemaakt." in exports
 
 
 def test_full_area_fast_path_requires_matching_area_and_clipped_operator_provenance() -> None:

backend/tests/test_sprint22_workbench_status_strip.py

@@ -17,7 +17,7 @@ def test_frontend_wires_v1_workbench_status_strip() -> None:
     assert "activeLayerFeatureCount={mapFeatureCount}" in app
     assert "selectedAreaHasGeometry={Boolean(areaFeatureCollection)}" in app
     assert "Platformstatus" in component
-    assert "Workbench status:" in component
+    assert "Status werkruimte:" in component
     assert "Kaartwerkruimte is gebruiksklaar" in component
     assert "workbench-status-strip" in css
     assert "status-tile-ready" in css

backend/tests/test_sprint88_ai_lab_density.py

@@ -20,7 +20,7 @@ def test_detection_lab_exposes_structured_surfaces() -> None:
     assert 'className="ai-lab-results-surface"' in lab
     assert 'aria-label="Detection results"' in lab
     assert 'className="ai-lab-qa-surface"' in lab
-    assert 'aria-label="Detection QA controls and results"' in lab
+    assert 'aria-label="Kwaliteitscontrole gebouwdetectie"' in lab
 
 
 def test_segmentation_lab_exposes_structured_surfaces() -> None:
@@ -53,7 +53,7 @@ def test_ai_lab_preserves_existing_detection_and_segmentation_controls() -> None
     assert "onRunQa" in detection
     assert "detectionTileManifestPath" in detection
     assert "{detectionItems.length} objecten geladen" in detection
-    assert "Compare detections to reference" in detection
+    assert "Vergelijk met referentielaag" in detection
 
     assert "onRunSegmentation" in segmentation
     assert "onLoadResults" in segmentation

docs/CODEX_EXECUTION_LOG.md

@@ -1,3 +1,29 @@
+## Sprint 194 Regional official time series and full-Area performance (2026-07-14)
+
+Changed:
+- Generalized the explicit Statbel operator to the approved 28-municipality scope and added one coordinator for official 2021-2025 population plus 2013-2025 forest snapshots.
+- Added municipality-partitioned official 10 m WCS retrieval after the upstream response-size limit rejected a single full-region request; source partitions are resumable and mosaicked locally before exact region clipping.
+- Added a provenance-gated full-Area selection path for trusted pre-clipped operator datasets. Free rectangles, unrelated Areas and ordinary uploads continue to execute the normal PostGIS intersection path.
+- Grouped older dated snapshots behind `Historische meetmomenten`, replaced raw provider/type labels in the primary catalog and translated the remaining visible temporal, download, platform-status and detection-evaluation language.
+
+Live regional evidence:
+- Population datasets: five exact dated snapshots, 3,317 persisted `vector_features`; 2021 `489,927` inhabitants and 2025 `506,473`, a measured increase of `16,546` (`3.377%`).
+- Forest datasets: five exact dated snapshots, 273,669 persisted `vector_features`; 2013 `27,659.976 ha` and 2025 `27,410.687 ha`, a source-resolution change of `-249.289 ha` (`-0.9013%`).
+- All ten snapshots have one immutable dataset version and zero invalid, empty, non-4326 or source-ID-missing geometries. A repeated synchronization reused the same ten Dataset IDs without duplicates.
+- Complete-Kempen current analysis returns 506,473 inhabitants, 27,410.69 ha forest, 466,078 buildings, 88,332 water features, 84,504 roads and 415,288 parcels over 1,399.25 km2.
+
+Performance and runtime evidence:
+- Population full-Area API selection completed in `1.738 s`; forest completed in `1.083 s`. The browser rendered the full six-theme analysis and 2021-2025 comparison within the 3.5-second verification window, replacing the previous roughly 92-second forest-heavy workflow.
+- Tower health, PostGIS 3.6, required schema objects, Alembic head `202607140001`, frontend, API proxy and icon checks passed after deployment.
+- PyTorch `2.13.0+cpu`, Ultralytics `8.4.95` and the active local model file load successfully. The catalog exposes 24 local assets; the active seven-AOI profile remains review-required at F1 `0.5825` and was not blindly retrained.
+
+Tested:
+- `bash scripts/run_readiness_check.sh` passed with `571 passed`, backend compile, one Alembic head, frontend typecheck/build and live-smoke syntax validation.
+- Focused regional, temporal and end-user contract checks passed. The browser confirmed the complete regional default, six current themes, five population moments, exact temporal totals and no required project/region selection step.
+
+Next:
+- Complete the 48 false-positive and 48 false-negative operator review decisions, then use those decisions to build a justified next training corpus and expose the existing raster-to-tiles-to-detection workflow as one guided end-user action.
+
 ## Sprint 193 End-user regional workbench simplification (2026-07-14)
 
 Changed:

docs/TODO.md

@@ -14,7 +14,7 @@
 - [x] Make the complete regional workspace the automatic data context and use municipality/full-region Areas as one spatial filter instead of requiring a region dropdown.
 - [x] Reduce end-user noise by moving technical projects, source metadata, QA evidence, provider internals and model diagnostics behind explicit advanced disclosures.
 - [x] Default Detection Lab to the configured local YOLO asset and present measured model quality and control requirements honestly.
-- [ ] Extend official population and land-use time series from Mol to the approved 28-municipality regional scope.
+- [x] Extend official population and land-use time series from Mol to the approved 28-municipality regional scope.
 
 This file now starts with the current implementation status. Older preparation/backlog sections are preserved below as historical planning context and should not be treated as the live sprint board without checking `docs/CODEX_EXECUTION_LOG.md`.
 

frontend/src/components/WorkbenchStatusStrip.tsx

@@ -1,4 +1,5 @@
 import type { AreaRead, DatasetCreateResponse, ExportRead, ProjectRead, QualityCheckRead } from '../types'
+import { REGIONAL_WORKSPACE_LABEL, REGIONAL_WORKSPACE_PROJECT_NAME } from '../config/primaryFocus'
 
 interface StatusItem {
   key: string
@@ -26,6 +27,17 @@ function countReferenceDatasets(datasets: DatasetCreateResponse[]): number {
   return datasets.filter((dataset) => dataset.dataset_role === 'reference').length
 }
 
+function statusLabel(state: StatusItem['state']): string {
+  if (state === 'ready') return 'gereed'
+  if (state === 'warning') return 'aandacht'
+  return 'nog open'
+}
+
+function projectLabel(project: ProjectRead | null): string {
+  if (!project) return 'Geen werkruimte'
+  return project.name === REGIONAL_WORKSPACE_PROJECT_NAME ? REGIONAL_WORKSPACE_LABEL : project.name
+}
+
 function nextAction(items: StatusItem[]): string {
   if (!items.some((item) => item.key === 'project' && item.state === 'ready')) {
     return 'De regionale werkruimte kon niet worden geopend.'
@@ -65,7 +77,7 @@ export function WorkbenchStatusStrip({
     {
       key: 'project',
       label: 'Werkruimte',
-      value: selectedProject ? selectedProject.name : 'Geen werkruimte',
+      value: projectLabel(selectedProject),
       detail: selectedProject ? selectedProject.region : 'Niet geladen',
       state: selectedProject ? 'ready' : 'waiting',
     },
@@ -114,12 +126,12 @@ export function WorkbenchStatusStrip({
         <div>
           <p className="eyebrow">Platformstatus</p>
           <h2>
-            <span className="sr-only">Workbench status: </span>
+            <span className="sr-only">Status werkruimte: </span>
             {coreReady ? 'Kaartwerkruimte is gebruiksklaar' : 'Kaartwerkruimte vraagt aandacht'}
           </h2>
           <p className="status-next-action">{nextAction(items)}</p>
         </div>
-        <div className="status-readiness" aria-label={`${readyCount} of ${items.length} workbench stages ready`}>
+        <div className="status-readiness" aria-label={`${readyCount} van ${items.length} onderdelen gereed`}>
           <strong>{readyCount}/{items.length}</strong>
           <span>onderdelen gereed</span>
         </div>
@@ -129,7 +141,7 @@ export function WorkbenchStatusStrip({
           <div className={`status-tile status-tile-${item.state}`} key={item.key}>
             <div className="status-tile-topline">
               <span>{item.label}</span>
-              <span className="status-pill">{item.state}</span>
+              <span className="status-pill">{statusLabel(item.state)}</span>
             </div>
             <strong title={item.value}>{item.value}</strong>
             <p>{item.detail}</p>

frontend/src/components/datasets/DatasetPanel.tsx

@@ -1,6 +1,6 @@
 import type { Dispatch, FormEvent, SetStateAction } from 'react'
 import type { AreaRead, DatasetCreateResponse } from '../../types'
-import { getDatasetDisplayName } from '../../lib/datasetDisplay'
+import { getDatasetDisplayName, getDatasetSourceDisplayName } from '../../lib/datasetDisplay'
 
 interface DatasetFormState {
   datasetType: string
@@ -63,6 +63,9 @@ function normalizeDatasetRole(dataset: DatasetCreateResponse): 'reference' | 'ca
   if (dataset.dataset_role === 'reference') {
     return 'reference'
   }
+  if (dataset.dataset_role === 'source') {
+    return 'source'
+  }
   if (dataset.dataset_role === 'derived' || isVectorDatasetType(dataset.dataset_type)) {
     return 'candidate'
   }
@@ -76,7 +79,7 @@ function datasetRoleLabel(role: string): string {
   if (role === 'candidate') {
     return 'Analyse-resultaat'
   }
-  return 'Eigen bron'
+  return 'Basisbron'
 }
 
 function datasetActionHint(dataset: DatasetCreateResponse, role: string): string {
@@ -92,6 +95,19 @@ function datasetActionHint(dataset: DatasetCreateResponse, role: string): string
   return 'Ingeladen gegevensbron voor verdere analyse.'
 }
 
+function formatObservationDate(value: string | null | undefined): string {
+  if (!value) return 'huidige toestand'
+  const date = new Date(value)
+  if (Number.isNaN(date.getTime())) return value
+  return new Intl.DateTimeFormat('nl-BE', { day: 'numeric', month: 'short', year: 'numeric' }).format(date)
+}
+
+function datasetKindLabel(dataset: DatasetCreateResponse): string {
+  if (dataset.dataset_type === 'raster') return 'Luchtbeeld'
+  if (isVectorDatasetType(dataset.dataset_type)) return 'Kaartlaag'
+  return 'Gegevensbron'
+}
+
 export function DatasetPanel({
   selectedProjectId,
   selectedDatasetId,
@@ -107,8 +123,24 @@ export function DatasetPanel({
   onOpenDatasetInMap,
   onOpenDatasetExport,
 }: DatasetPanelProps) {
-  const readyDatasets = datasets.filter((dataset) => dataset.status === 'ready').length
   const selectedDataset = datasets.find((dataset) => dataset.id === selectedDatasetId)
+  const latestDatasetBySeries = new Map<string, DatasetCreateResponse>()
+  datasets.forEach((dataset) => {
+    if (!dataset.temporal_series_key) return
+    const current = latestDatasetBySeries.get(dataset.temporal_series_key)
+    const currentTimestamp = current?.observed_at ? Date.parse(current.observed_at) : Number.NEGATIVE_INFINITY
+    const candidateTimestamp = dataset.observed_at ? Date.parse(dataset.observed_at) : Number.NEGATIVE_INFINITY
+    if (!current || candidateTimestamp > currentTimestamp) {
+      latestDatasetBySeries.set(dataset.temporal_series_key, dataset)
+    }
+  })
+  const primaryDatasets = datasets.filter(
+    (dataset) => !dataset.temporal_series_key || latestDatasetBySeries.get(dataset.temporal_series_key)?.id === dataset.id,
+  )
+  const historicalDatasets = datasets.filter(
+    (dataset) => dataset.temporal_series_key && latestDatasetBySeries.get(dataset.temporal_series_key)?.id !== dataset.id,
+  )
+  const readyDatasets = primaryDatasets.filter((dataset) => dataset.status === 'ready').length
   const roleSummaries = [
     {
       key: 'selected',
@@ -120,21 +152,21 @@ export function DatasetPanel({
     {
       key: 'reference',
       label: 'Referentie',
-      count: datasets.filter((dataset) => normalizeDatasetRole(dataset) === 'reference').length,
+      count: primaryDatasets.filter((dataset) => normalizeDatasetRole(dataset) === 'reference').length,
       hint: 'Officieel',
       className: 'dataset-role-reference',
     },
     {
       key: 'candidate',
       label: 'Resultaat',
-      count: datasets.filter((dataset) => normalizeDatasetRole(dataset) === 'candidate').length,
+      count: primaryDatasets.filter((dataset) => normalizeDatasetRole(dataset) === 'candidate').length,
       hint: 'Afgeleid',
       className: 'dataset-role-candidate',
     },
     {
       key: 'source',
-      label: 'Eigen bron',
+      label: 'Basisbron',
-      count: datasets.filter((dataset) => normalizeDatasetRole(dataset) === 'source').length,
+      count: primaryDatasets.filter((dataset) => normalizeDatasetRole(dataset) === 'source').length,
       hint: 'Ingeladen',
       className: 'dataset-role-source',
     },
@@ -147,7 +179,7 @@ export function DatasetPanel({
           <p className="eyebrow">Ingeladen gegevens</p>
           <h2>Bronnen</h2>
         </div>
-        <span className="count-pill">{readyDatasets}/{datasets.length} beschikbaar</span>
+        <span className="count-pill">{readyDatasets}/{primaryDatasets.length} bronnen beschikbaar</span>
       </div>
 
       <div className="data-selection-summary data-selection-summary-dataset">
@@ -165,17 +197,17 @@ export function DatasetPanel({
               value={datasetForm.datasetType}
               onChange={(event) => onDatasetFormChange((previous) => ({ ...previous, datasetType: event.target.value }))}
             >
-              <option value="vector">vector</option>
+              <option value="vector">Kaartlaag</option>
-              <option value="geojson">geojson</option>
+              <option value="geojson">GeoJSON-kaartlaag</option>
-              <option value="raster">raster</option>
+              <option value="raster">Luchtbeeld of raster</option>
             </select>
           </label>
           <label>
-            Bronnaam
+            Naam van de bron
             <input
               value={datasetForm.source}
               onChange={(event) => onDatasetFormChange((previous) => ({ ...previous, source: event.target.value }))}
-              placeholder="user_upload"
+              placeholder="bijvoorbeeld eigen luchtbeeld"
             />
           </label>
           <label>
@@ -226,7 +258,7 @@ export function DatasetPanel({
       <div className="data-panel-list-block dataset-catalog-block">
         <p className="data-section-label">Beschikbare bronnen</p>
         <ul className="dataset-list">
-          {datasets.map((dataset) => {
+          {primaryDatasets.map((dataset) => {
             const datasetRole = normalizeDatasetRole(dataset)
             const roleLabel = datasetRoleLabel(datasetRole)
             return (
@@ -235,12 +267,12 @@ export function DatasetPanel({
                   <div>
                     <div className="dataset-card-kicker">
                       <span className={`dataset-role-badge dataset-role-${datasetRole}`}>{roleLabel}</span>
-                      <span>{dataset.dataset_type}</span>
+                      <span>{datasetKindLabel(dataset)}</span>
                     </div>
                     <strong className="dataset-card-title">{getDatasetDisplayName(dataset)}</strong>
                     <div className="entity-meta dataset-card-primary-meta">
                       <span>{(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} objecten</span>
-                      <span>{dataset.source_name ?? dataset.source}</span>
+                      <span>{getDatasetSourceDisplayName(dataset)} · {formatObservationDate(dataset.observed_at)}</span>
                     </div>
                   </div>
                   <span className={dataset.status === 'ready' ? 'status-badge status-badge-ready' : 'status-badge'}>
@@ -305,6 +337,28 @@ export function DatasetPanel({
             )
           })}
         </ul>
+        {historicalDatasets.length > 0 ? (
+          <details className="dataset-history-disclosure">
+            <summary>
+              <span>Historische meetmomenten</span>
+              <strong>{historicalDatasets.length} oudere lagen</strong>
+            </summary>
+            <ul className="dataset-history-list">
+              {historicalDatasets.map((dataset) => (
+                <li key={dataset.id}>
+                  <div>
+                    <strong>{getDatasetDisplayName(dataset)}</strong>
+                    <span>{formatObservationDate(dataset.observed_at)} · {(dataset.feature_count ?? dataset.vector_summary?.feature_count ?? 0).toLocaleString('nl-BE')} objecten</span>
+                  </div>
+                  <div className="panel-action-row">
+                    <button className="secondary-action" type="button" onClick={() => onOpenDatasetInMap(dataset)}>Kaart</button>
+                    <button className="secondary-action" type="button" onClick={() => onOpenDatasetExport(dataset)}>Downloaden</button>
+                  </div>
+                </li>
+              ))}
+            </ul>
+          </details>
+        ) : null}
       </div>
     </section>
   )

frontend/src/components/detection/DetectionLab.tsx

@@ -16,6 +16,13 @@ import { DETECTION_OPERATOR_PROFILES, type DetectionOperatorProfile } from './de
 const DETECTION_PAGE_SIZE_OPTIONS = [25, 50, 100] as const
 const DEFAULT_DETECTION_PAGE_SIZE = 50
 
+function detectionModelLabel(model: DetectionModelCapability): string {
+  if (model.model_id === 'yolo-configured') return 'Lokaal gebouwmodel'
+  if (model.model_id === 'manual-fixture-detector') return 'Testmodel (alleen voor demo)'
+  if (model.model_id === 'yolo-placeholder') return 'Gebouwmodel nog niet geconfigureerd'
+  return model.display_name
+}
+
 interface CalibrationRow {
   analysisRunId: string
   qualityCheckId: string
@@ -272,7 +279,7 @@ export function DetectionLab({
         <ul className="model-list">
           {detectionModels.map((model) => (
             <li className={model.configured ? 'model-card model-card-ready' : 'model-card'} key={model.model_id}>
-              <strong>{model.display_name}</strong>
+              <strong>{detectionModelLabel(model)}</strong>
               <span className={model.configured ? 'status-badge status-badge-ready' : 'status-badge'}>{model.status}</span>
               <div className="entity-meta">
                 <span>{model.model_id}</span>
@@ -560,7 +567,7 @@ export function DetectionLab({
               <select value={selectedDetectionModelId} onChange={(event) => onSelectModel(event.target.value)}>
                 {detectionModels.map((model) => (
                   <option key={model.model_id} value={model.model_id}>
-                    {model.display_name}
+                    {detectionModelLabel(model)}
                   </option>
                 ))}
               </select>
@@ -587,7 +594,7 @@ export function DetectionLab({
               Beeldtegelbestand
               <input
                 type="text"
-                placeholder="Raster tile manifest path"
+                placeholder="Pad naar de aangemaakte beeldtegels"
                 value={detectionTileManifestPath}
                 onChange={(event) => onSetTileManifestPath(event.target.value)}
               />
@@ -609,17 +616,17 @@ export function DetectionLab({
       <div className="ai-lab-state-stack">
         {detectionRunError ? (
           <div className="result-state result-state-error">
-            <strong>Detection run failed.</strong>
+            <strong>De beeldanalyse is mislukt.</strong>
             <p>{detectionRunError}</p>
           </div>
         ) : null}
         {detectionRunResult ? (
           <div className="result-summary-card">
             <p>Status: {detectionRunResult.status}</p>
-            <p>Message: {detectionRunResult.message}</p>
+            <p>Uitleg: {detectionRunResult.message}</p>
-            <p>Analysis run: {detectionRunResult.analysis_run_id}</p>
+            <p>Analyse: {detectionRunResult.analysis_run_id}</p>
-            <p>Job: {detectionRunResult.job_id}</p>
+            <p>Verwerking: {detectionRunResult.job_id}</p>
-            <p>Detections: {detectionRunResult.detection_count}</p>
+            <p>Gevonden objecten: {detectionRunResult.detection_count}</p>
             {detectionRunResult.error_code ? <p className="error">Code: {detectionRunResult.error_code}</p> : null}
           </div>
         ) : null}
@@ -765,7 +772,7 @@ export function DetectionLab({
               <option value="">Kies een bewaarde analyse</option>
               {detectionRuns.map((run) => (
                 <option key={run.id} value={run.id}>
-                  {run.model_name || 'detection'} - {run.status} - {run.id}
+                  {run.model_name || 'Gebouwdetectie'} · {run.status} · {run.id}
                 </option>
               ))}
             </select>
@@ -774,7 +781,7 @@ export function DetectionLab({
             Type object
             <input
               type="text"
-              placeholder="bijvoorbeeld building"
+              placeholder="bijvoorbeeld gebouw"
               value={detectionClassFilter}
               onChange={(event) => onSetClassFilter(event.target.value)}
             />
@@ -811,10 +818,10 @@ export function DetectionLab({
             <div className="pagination-toolbar" aria-label="Detection result pagination">
               <p className="pagination-summary" aria-live="polite">
                 <strong>{detectionPageStart + 1}-{detectionPageEnd}</strong>
-                <span>of {detectionItems.length}</span>
+                <span>van {detectionItems.length}</span>
               </p>
               <label className="pagination-page-size">
-                Rows
+                Rijen
                 <select
                   value={detectionPageSize}
                   onChange={(event) => {
@@ -831,19 +838,19 @@ export function DetectionLab({
                 <button
                   className="secondary-action pagination-button"
                   type="button"
-                  aria-label="Previous detection results page"
+                  aria-label="Vorige resultatenpagina"
-                  title="Previous page"
+                  title="Vorige pagina"
                   disabled={currentDetectionPage <= 1}
                   onClick={() => setDetectionResultPage(currentDetectionPage - 1)}
                 >
                   {'<'}
                 </button>
-                <span>Page {currentDetectionPage} of {detectionPageCount}</span>
+                <span>Pagina {currentDetectionPage} van {detectionPageCount}</span>
                 <button
                   className="secondary-action pagination-button"
                   type="button"
-                  aria-label="Next detection results page"
+                  aria-label="Volgende resultatenpagina"
-                  title="Next page"
+                  title="Volgende pagina"
                   disabled={currentDetectionPage >= detectionPageCount}
                   onClick={() => setDetectionResultPage(currentDetectionPage + 1)}
                 >
@@ -855,10 +862,10 @@ export function DetectionLab({
               <table>
                 <thead>
                   <tr>
-                    <th>Class</th>
+                    <th>Type</th>
-                    <th>Confidence</th>
+                    <th>Zekerheid</th>
                     <th>Model</th>
-                    <th>Source tile</th>
+                    <th>Beeldtegel</th>
                   </tr>
                 </thead>
                 <tbody>
@@ -879,34 +886,40 @@ export function DetectionLab({
         ) : null}
       </div>
 
-      <div className="ai-lab-results-surface calibration-comparison-surface" aria-label="Detection calibration comparison">
+      <details className="secondary-analysis-disclosure detection-technical-evaluation">
+        <summary>
+          <span>Technische modelevaluatie</span>
+          <strong>{calibrationRows.length > 0 || detectionQaResult ? 'resultaten beschikbaar' : 'optioneel'}</strong>
+        </summary>
+        <div className="ai-lab-disclosure-body">
+      <div className="ai-lab-results-surface calibration-comparison-surface" aria-label="Vergelijking modelkalibratie">
         <div className="panel-title-row">
           <div>
-            <h3>Calibration comparison</h3>
+            <h3>Kalibraties vergelijken</h3>
-            <p className="muted">Compare persisted detection runs by confidence threshold before promoting a model setting.</p>
+            <p className="muted">Vergelijk bewaarde analyseruns per zekerheidsdrempel voordat een modelinstelling wordt goedgekeurd.</p>
           </div>
-          <span className="count-pill">{calibrationRows.length} rows</span>
+          <span className="count-pill">{calibrationRows.length} resultaten</span>
         </div>
         {calibrationRows.length > 0 ? (
           <>
             <div className="calibration-summary-grid" aria-label="Calibration comparison winners">
-              <CalibrationSummaryCard title="Best F1 candidate" row={bestF1Candidate} metric="f1" />
+              <CalibrationSummaryCard title="Beste F1-score" row={bestF1Candidate} metric="f1" />
-              <CalibrationSummaryCard title="Best precision candidate" row={bestPrecisionCandidate} metric="precision" />
+              <CalibrationSummaryCard title="Beste precisie" row={bestPrecisionCandidate} metric="precision" />
-              <CalibrationSummaryCard title="Lowest false-positive pressure" row={lowestFalsePositivePressureCandidate} metric="falsePositives" />
+              <CalibrationSummaryCard title="Minste foutieve meldingen" row={lowestFalsePositivePressureCandidate} metric="falsePositives" />
             </div>
             <div className="table-scroll">
               <table>
                 <thead>
                   <tr>
-                    <th>Threshold</th>
+                    <th>Drempel</th>
                     <th>Model</th>
-                    <th>Detections</th>
+                    <th>Objecten</th>
-                    <th>Precision</th>
+                    <th>Precisie</th>
                     <th>Recall</th>
                     <th>F1</th>
-                    <th>False positives</th>
+                    <th>Fout positief</th>
-                    <th>False negatives</th>
+                    <th>Fout negatief</th>
-                    <th>Quality check</th>
+                    <th>Kwaliteitscontrole</th>
                   </tr>
                 </thead>
                 <tbody>
@@ -915,7 +928,7 @@ export function DetectionLab({
                       <td>{formatNullableNumber(row.threshold, 2)}</td>
                       <td>
                         <strong>{row.modelName}</strong>
-                        <span className="table-subtle">{row.modelAssetId ?? 'runtime configured path'}</span>
+                        <span className="table-subtle">{row.modelAssetId ?? 'geconfigureerd lokaal model'}</span>
                       </td>
                       <td>{row.detectionCount ?? 'n/a'}</td>
                       <td>{formatNullableNumber(row.precision, 3)}</td>
@@ -930,24 +943,24 @@ export function DetectionLab({
               </table>
             </div>
             <div className="lab-action-guardrail">
-              <span>Promotion guardrail</span>
+              <span>Voorwaarde voor goedkeuring</span>
-              <strong>Promote only after checking evidence across AOIs, false positives and false negatives.</strong>
+              <strong>Keur pas goed nadat meerdere gebieden en de foutieve positieve en negatieve resultaten zijn gecontroleerd.</strong>
             </div>
           </>
         ) : (
           <div className="result-state result-state-empty">
-            <strong>No calibration comparison available yet.</strong>
+            <strong>Nog geen kalibratievergelijking beschikbaar.</strong>
-            <p>Run configured YOLO at multiple confidence thresholds, then compare each persisted detection run against the same reference dataset.</p>
+            <p>Voer het lokale model met meerdere zekerheidsdrempels uit en vergelijk de resultaten met dezelfde referentielaag.</p>
           </div>
         )}
       </div>
 
-      <div className="ai-lab-qa-surface" aria-label="Detection QA controls and results">
+      <div className="ai-lab-qa-surface" aria-label="Kwaliteitscontrole gebouwdetectie">
-        <h3>Detection QA</h3>
+        <h3>Kwaliteitscontrole gebouwdetectie</h3>
         <label>
-          Reference dataset
+          Referentielaag
           <select value={detectionReferenceDatasetId} onChange={(event) => onSelectReferenceDataset(event.target.value)}>
-            <option value="">Select reference dataset</option>
+            <option value="">Kies een referentielaag</option>
             {referenceDatasets.map((dataset) => (
               <option key={dataset.id} value={dataset.id}>
                 {dataset.name}
@@ -956,24 +969,24 @@ export function DetectionLab({
           </select>
         </label>
         <button className="primary-action" type="button" onClick={onRunQa} disabled={runningDetectionQa || !selectedDetectionRunId || !detectionReferenceDatasetId}>
-          Compare detections to reference
+          Vergelijk met referentielaag
         </button>
         {detectionQaError ? (
           <div className="result-state result-state-error">
-            <strong>Detection QA failed.</strong>
+            <strong>De kwaliteitscontrole is mislukt.</strong>
           <p>{detectionQaError}</p>
         </div>
       ) : null}
       {detectionQaResult ? (
           <div className="result-summary-card">
             <p>Status: {detectionQaResult.status}</p>
-            <p>Quality check: {detectionQaResult.quality_check_id}</p>
+            <p>Kwaliteitscontrole: {detectionQaResult.quality_check_id}</p>
-            <p>Precision: {detectionQaResult.precision?.toFixed(3) ?? 'n/a'}</p>
+            <p>Precisie: {detectionQaResult.precision?.toFixed(3) ?? 'n.v.t.'}</p>
             <p>Recall: {detectionQaResult.recall?.toFixed(3) ?? 'n/a'}</p>
             <p>F1: {detectionQaResult.f1_score?.toFixed(3) ?? 'n/a'}</p>
-            <p>Mean IoU: {detectionQaResult.mean_iou?.toFixed(3) ?? 'n/a'}</p>
+            <p>Gemiddelde overlap: {detectionQaResult.mean_iou?.toFixed(3) ?? 'n.v.t.'}</p>
-            <p>False positives: {detectionQaResult.false_positives}</p>
+            <p>Fout positief: {detectionQaResult.false_positives}</p>
-            <p>False negatives: {detectionQaResult.false_negatives}</p>
+            <p>Fout negatief: {detectionQaResult.false_negatives}</p>
             {detectionQaResult.coverage ? (
               <div className="detection-qa-diagnostic">
                 <span>Inference coverage</span>
@@ -1004,6 +1017,8 @@ export function DetectionLab({
           </div>
         ) : null}
       </div>
+        </div>
+      </details>
     </section>
   )
 }

frontend/src/components/exports/ExportCenter.tsx

@@ -326,27 +326,27 @@ export function ExportCenter({
         <div className="export-state-stack">
           {loadingExports ? (
             <div className="result-state result-state-loading">
-              <strong>Loading export registry.</strong>
+              <strong>Downloads laden.</strong>
-              <p>Retrieving persisted artifacts for the selected project.</p>
+              <p>De bewaarde bestanden van deze werkruimte worden opgehaald.</p>
             </div>
           ) : null}
           {exportError ? (
             <div className="result-state result-state-error">
-              <strong>Export action failed.</strong>
+              <strong>Download kon niet worden gemaakt.</strong>
               <p>{exportError}</p>
             </div>
           ) : null}
           {latestExport ? (
             <div className="latest-export-card">
-              <span>Latest export</span>
+              <span>Laatste download</span>
               <strong>{formatExportType(latestExport.export_type)}</strong>
               <p>{latestExport.path}</p>
             </div>
           ) : null}
           {exports.length === 0 ? (
             <div className="result-state result-state-empty">
-              <strong>No exports registered yet.</strong>
+              <strong>Nog geen downloads gemaakt.</strong>
-              <p>Create metadata, GeoJSON or HTML report artifacts once the active project has data to hand off.</p>
+              <p>Kies hierboven een leesbaar rapport, projectoverzicht of kaartlaag.</p>
             </div>
           ) : null}
         </div>

frontend/src/components/map/MapWorkspace.tsx

@@ -1049,7 +1049,7 @@ export function MapWorkspace({
             ) : null}
 
             <label className="geo-scope-select">
-              Gemeente of volledige regio
+              Snel naar een gemeente (optioneel)
               <select aria-label="Werkgebied" value={selectedMapAreaId} onChange={(event) => handleSelectMapArea(event.target.value)} disabled={areas.length === 0}>
                 {areas.map((area) => (
                   <option key={area.id} value={area.id}>{area.name}</option>

frontend/src/styles/premium.css

@@ -1529,6 +1529,7 @@ details.ai-lab-model-surface > summary strong {
 
 .technical-run-list,
 .area-catalog-disclosure,
+.dataset-history-disclosure,
 .dataset-technical-details,
 .quality-advanced-disclosure,
 .provider-technical-details,
@@ -1543,6 +1544,7 @@ details.ai-lab-model-surface > summary strong {
 
 .technical-run-list > summary,
 .area-catalog-disclosure > summary,
+.dataset-history-disclosure > summary,
 .dataset-technical-details > summary,
 .quality-advanced-disclosure > summary,
 .provider-technical-details > summary,
@@ -1564,6 +1566,7 @@ details.ai-lab-model-surface > summary strong {
 
 .technical-run-list > summary::-webkit-details-marker,
 .area-catalog-disclosure > summary::-webkit-details-marker,
+.dataset-history-disclosure > summary::-webkit-details-marker,
 .dataset-technical-details > summary::-webkit-details-marker,
 .quality-advanced-disclosure > summary::-webkit-details-marker,
 .provider-technical-details > summary::-webkit-details-marker,
@@ -1575,6 +1578,7 @@ details.ai-lab-model-surface > summary strong {
 
 .technical-run-list > summary::after,
 .area-catalog-disclosure > summary::after,
+.dataset-history-disclosure > summary::after,
 .dataset-technical-details > summary::after,
 .quality-advanced-disclosure > summary::after,
 .provider-technical-details > summary::after,
@@ -1589,6 +1593,7 @@ details.ai-lab-model-surface > summary strong {
 
 .technical-run-list[open] > summary::after,
 .area-catalog-disclosure[open] > summary::after,
+.dataset-history-disclosure[open] > summary::after,
 .dataset-technical-details[open] > summary::after,
 .quality-advanced-disclosure[open] > summary::after,
 .provider-technical-details[open] > summary::after,
@@ -1645,6 +1650,56 @@ details.ai-lab-model-surface > summary strong {
   margin-top: 0.25rem;
 }
 
+.dataset-history-disclosure {
+  margin-top: 0.75rem;
+}
+
+.dataset-history-disclosure > summary strong {
+  margin-right: 0.25rem;
+  color: var(--muted);
+  font-size: 0.75rem;
+}
+
+.dataset-history-list {
+  display: grid;
+  max-height: 24rem;
+  margin: 0;
+  overflow: auto;
+  padding: 0.5rem;
+  list-style: none;
+  background: #ffffff;
+}
+
+.dataset-history-list li {
+  display: flex;
+  min-width: 0;
+  flex-wrap: wrap;
+  gap: 0.75rem;
+  align-items: center;
+  justify-content: space-between;
+  border-top: 1px solid var(--line);
+  padding: 0.65rem 0.25rem;
+}
+
+.dataset-history-list li:first-child {
+  border-top: 0;
+}
+
+.dataset-history-list li > div:first-child {
+  display: grid;
+  min-width: 0;
+  gap: 0.15rem;
+}
+
+.dataset-history-list li span {
+  color: var(--muted);
+  font-size: 0.76rem;
+}
+
+.detection-technical-evaluation {
+  margin-top: 0.75rem;
+}
+
 .ai-user-summary {
   order: 0;
   display: grid;