Harden detection model asset selection

frontend/src/components/detection/DetectionLab.tsx

@@ -109,10 +109,20 @@ export function DetectionLab({
   const detectionHasModel = selectedDetectionModel !== null
   const detectionModelReady = Boolean(selectedDetectionModel?.configured)
   const detectionModelUiRunnable = detectionModelReady && selectedDetectionModelId !== 'manual-fixture-detector'
+  const detectionHasExplicitModelAsset =
+    selectedDetectionModelId !== 'yolo-configured' || modelAssets.length === 0 || selectedModelAssetId.length > 0
+  const benchmarkCandidateAsset = modelAssets.find(
+    (asset) => asset.model_asset_id === 'geointel-building-yolov8s-hardneg160r4e50-pt',
+  )
   const detectionHasTileManifest =
     !detectionRequiresTileManifest || detectionTileManifestPath.trim().length > 0
   const detectionRunReady =
-    Boolean(selectedProjectId) && detectionHasDataset && detectionHasModel && detectionModelUiRunnable && detectionHasTileManifest
+    Boolean(selectedProjectId) &&
+    detectionHasDataset &&
+    detectionHasModel &&
+    detectionModelUiRunnable &&
+    detectionHasExplicitModelAsset &&
+    detectionHasTileManifest
   const detectionRunBlockedReason = !selectedProjectId
     ? 'Select or create a project first'
     : !detectionHasDataset
@@ -123,6 +133,8 @@ export function DetectionLab({
           ? 'Fixture model is explicit test/demo-only'
           : !detectionModelReady
             ? selectedDetectionModel?.limitation_message ?? 'Selected model is not configured'
+            : !detectionHasExplicitModelAsset
+              ? 'Select a local model asset deliberately'
             : !detectionHasTileManifest
               ? 'Provide a raster tile manifest for configured YOLO'
               : null
@@ -193,17 +205,26 @@ export function DetectionLab({
         <div className="ai-lab-model-surface" aria-label="Local model asset selection">
           <div className="ai-lab-section-header">
             <div>
-              <h3>Local model assets</h3>
-              <p>Select an existing model file mounted into the backend runtime. GeoIntel does not download model weights.</p>
+              <h3>Explicit model asset</h3>
+              <p>Local model assets are read-only. No model file is selected automatically. Choose an existing local model asset before submitting configured YOLO.</p>
             </div>
             <span className={selectedModelAsset ? 'status-badge status-badge-ready' : 'status-badge'}>
-              {selectedModelAsset ? 'asset selected' : 'using configured path'}
+              {selectedModelAsset ? 'asset selected' : 'no explicit asset'}
             </span>
           </div>
+          {benchmarkCandidateAsset ? (
+            <div className="model-asset-guidance">
+              <strong>Current benchmark candidate</strong>
+              <p>
+                {benchmarkCandidateAsset.display_name} is available for deliberate evaluation. Recommended starting threshold: 0.25.
+                Keep it operator-selected until hard-negative false positives are reduced.
+              </p>
+            </div>
+          ) : null}
           <label>
             Local model file
             <select value={selectedModelAssetId} onChange={(event) => onSelectModelAsset(event.target.value)}>
-              <option value="">Use configured YOLO_MODEL_PATH</option>
+              <option value="">Select explicit local model asset</option>
               {modelAssets.map((asset) => (
                 <option key={asset.model_asset_id} value={asset.model_asset_id}>
                   {asset.display_name} {asset.active ? '(active)' : ''}
@@ -221,6 +242,8 @@ export function DetectionLab({
             <div className="result-summary-card">
               <p>File: {selectedModelAsset.filename}</p>
               <p>Status: {selectedModelAsset.status}</p>
+              <p>Active runtime env model: {selectedModelAsset.active ? 'yes' : 'no'}</p>
+              <p>will_download_models: {selectedModelAsset.will_download_models ? 'yes' : 'no'}</p>
               <p>Size: {formatModelAssetSize(selectedModelAsset.size_bytes)}</p>
               <p>SHA-256: {selectedModelAsset.sha256.slice(0, 12)}</p>
               <p>Path: {selectedModelAsset.model_path}</p>
@@ -340,6 +363,18 @@ export function DetectionLab({
                     : 'Not required for this model'}
                 </strong>
               </div>
+              <div className={detectionHasExplicitModelAsset ? 'lab-readiness-item lab-readiness-item-ready' : 'lab-readiness-item'}>
+                <span>Local model asset</span>
+                <strong>
+                  {selectedDetectionModelId === 'yolo-configured'
+                    ? selectedModelAsset
+                      ? selectedModelAsset.display_name
+                      : modelAssets.length > 0
+                        ? 'Select a local model asset deliberately'
+                        : 'No local assets reported; backend configured path only'
+                    : 'Not required for this model'}
+                </strong>
+              </div>
             </div>
           </div>
           <div className={detectionRunReady ? 'lab-action-guardrail lab-action-guardrail-ready' : 'lab-action-guardrail'}>
@@ -384,6 +419,11 @@ export function DetectionLab({
                 value={detectionConfidenceThreshold}
                 onChange={(event) => onSetConfidenceThreshold(Number(event.target.value))}
               />
+              {selectedDetectionModelId === 'yolo-configured' ? (
+                <span className="field-guidance">
+                  Recommended starting threshold: 0.25 for the current local YOLOv8s benchmark candidate.
+                </span>
+              ) : null}
             </label>
           </div>
           {selectedDetectionModelId === 'yolo-configured' ? (

frontend/src/hooks/useDetectionWorkflow.ts

@@ -72,9 +72,8 @@ export function useDetectionWorkflow({
     try {
       const assetResponse = await detectionApi.listModelAssets()
       setModelAssets(assetResponse.items)
-      const activeAsset = assetResponse.items.find((asset) => asset.active) ?? assetResponse.items[0] ?? null
       if (!assetResponse.items.some((asset) => asset.model_asset_id === selectedModelAssetId)) {
-        setSelectedModelAssetId(activeAsset?.model_asset_id ?? '')
+        setSelectedModelAssetId('')
       }
     } catch (error) {
       setModelAssets([])

frontend/src/styles/app.css

@@ -3369,6 +3369,34 @@ button.entity-card {
   overflow-wrap: anywhere;
 }
 
+.model-asset-guidance {
+  display: grid;
+  gap: 0.22rem;
+  border: 1px solid #d8e3de;
+  border-left: 4px solid #315a92;
+  border-radius: 8px;
+  padding: 0.58rem 0.68rem;
+  background: #f8fbff;
+}
+
+.model-asset-guidance strong {
+  color: var(--text);
+  font-size: 0.9rem;
+}
+
+.model-asset-guidance p,
+.field-guidance {
+  margin: 0;
+  color: var(--muted);
+  font-size: 0.78rem;
+  line-height: 1.35;
+}
+
+.field-guidance {
+  display: block;
+  margin-top: 0.24rem;
+}
+
 .lab-action-guardrail {
   display: flex;
   min-width: 0;