Initial GeoIntel V1 foundation
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import type {
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DatasetCreateResponse,
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SegmentationModelCapability,
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SegmentationQaResult,
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SegmentationRead,
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SegmentationRunRead,
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SegmentationRunResponse,
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} from '../../types'
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interface SegmentationLabProps {
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segmentationModels: SegmentationModelCapability[]
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loadingSegmentationModels: boolean
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segmentationModelError: string | null
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selectedSegmentationDatasetId: string
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selectedSegmentationModelId: string
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segmentationConfidenceThreshold: number
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runningSegmentation: boolean
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segmentationRunResult: SegmentationRunResponse | null
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segmentationRunError: string | null
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segmentationRuns: SegmentationRunRead[]
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selectedSegmentationRunId: string
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segmentationItems: SegmentationRead[]
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segmentationClassFilter: string
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segmentationMinConfidenceFilter: number
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loadingSegmentationResults: boolean
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segmentationReferenceDatasetId: string
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segmentationQaResult: SegmentationQaResult | null
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segmentationQaError: string | null
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runningSegmentationQa: boolean
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selectedProjectId: string | null
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rasterDatasets: DatasetCreateResponse[]
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referenceDatasets: DatasetCreateResponse[]
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selectedSegmentationModelConfigured: boolean
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selectedSegmentationModelLimitation: string | null
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onLoadModels: () => void
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onSelectDataset: (datasetId: string) => void
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onSelectModel: (modelId: string) => void
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onSetConfidenceThreshold: (value: number) => void
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onRunSegmentation: () => void
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onLoadRuns: () => void
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onSelectRun: (runId: string) => void
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onSetClassFilter: (value: string) => void
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onSetMinConfidenceFilter: (value: number) => void
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onLoadResults: () => void
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onSelectReferenceDataset: (datasetId: string) => void
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onRunQa: () => void
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}
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export function SegmentationLab({
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segmentationModels,
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loadingSegmentationModels,
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segmentationModelError,
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selectedSegmentationDatasetId,
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selectedSegmentationModelId,
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segmentationConfidenceThreshold,
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runningSegmentation,
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segmentationRunResult,
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segmentationRunError,
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segmentationRuns,
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selectedSegmentationRunId,
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segmentationItems,
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segmentationClassFilter,
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segmentationMinConfidenceFilter,
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loadingSegmentationResults,
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segmentationReferenceDatasetId,
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segmentationQaResult,
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segmentationQaError,
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runningSegmentationQa,
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selectedProjectId,
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rasterDatasets,
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referenceDatasets,
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selectedSegmentationModelConfigured,
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selectedSegmentationModelLimitation,
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onLoadModels,
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onSelectDataset,
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onSelectModel,
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onSetConfidenceThreshold,
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onRunSegmentation,
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onLoadRuns,
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onSelectRun,
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onSetClassFilter,
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onSetMinConfidenceFilter,
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onLoadResults,
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onSelectReferenceDataset,
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onRunQa,
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}: SegmentationLabProps): JSX.Element {
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return (
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<section>
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<h2>Segmentation Lab</h2>
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<button type="button" onClick={onLoadModels} disabled={loadingSegmentationModels}>
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Refresh segmentation models
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</button>
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{loadingSegmentationModels ? <p>Loading segmentation models...</p> : null}
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{segmentationModelError ? <p className="error">{segmentationModelError}</p> : null}
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{segmentationModels.length === 0 && !loadingSegmentationModels ? <p>No segmentation models reported by backend</p> : null}
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<ul>
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{segmentationModels.map((model) => (
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<li key={model.model_id}>
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<strong>{model.display_name}</strong>
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<div>model: {model.model_id}</div>
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<div>framework: {model.framework}</div>
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<div>task: {model.task_type}</div>
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<div>status: {model.status}</div>
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<div>configured: {model.configured ? 'yes' : 'no'}</div>
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<div>classes: {model.supported_classes.join(', ')}</div>
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<div>limitation: {model.limitation_message}</div>
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</li>
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))}
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</ul>
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<div>
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<select value={selectedSegmentationDatasetId} onChange={(event) => onSelectDataset(event.target.value)}>
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<option value="">Select raster dataset</option>
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{rasterDatasets.map((dataset) => (
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<option key={dataset.id} value={dataset.id}>
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{dataset.name}
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</option>
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))}
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</select>
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<select value={selectedSegmentationModelId} onChange={(event) => onSelectModel(event.target.value)}>
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{segmentationModels.map((model) => (
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<option key={model.model_id} value={model.model_id}>
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{model.display_name}
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</option>
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))}
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</select>
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<input
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type="number"
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min="0"
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max="1"
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step="0.05"
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value={segmentationConfidenceThreshold}
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onChange={(event) => onSetConfidenceThreshold(Number(event.target.value))}
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/>
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<button
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type="button"
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onClick={onRunSegmentation}
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disabled={runningSegmentation || !selectedProjectId || rasterDatasets.length === 0 || !selectedSegmentationModelConfigured}
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>
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Run segmentation
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</button>
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</div>
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{!selectedSegmentationModelConfigured ? (
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<p>{selectedSegmentationModelLimitation ?? 'Select a configured segmentation model'}</p>
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) : null}
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{segmentationRunError ? <p className="error">{segmentationRunError}</p> : null}
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{segmentationRunResult ? (
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<div>
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<p>Status: {segmentationRunResult.status}</p>
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<p>Message: {segmentationRunResult.message}</p>
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<p>Analysis run: {segmentationRunResult.analysis_run_id}</p>
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<p>Job: {segmentationRunResult.job_id}</p>
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<p>Segmentations: {segmentationRunResult.segmentation_count}</p>
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{segmentationRunResult.error_code ? <p className="error">Code: {segmentationRunResult.error_code}</p> : null}
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</div>
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) : null}
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<div>
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<h3>Segmentation results</h3>
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<button type="button" onClick={onLoadRuns} disabled={!selectedProjectId}>
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Refresh segmentation runs
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</button>
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<select value={selectedSegmentationRunId} onChange={(event) => onSelectRun(event.target.value)}>
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<option value="">Select segmentation run</option>
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{segmentationRuns.map((run) => (
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<option key={run.id} value={run.id}>
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{run.model_name || 'segmentation'} - {run.status} - {run.id}
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</option>
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))}
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</select>
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<input
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type="text"
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placeholder="Class filter"
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value={segmentationClassFilter}
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onChange={(event) => onSetClassFilter(event.target.value)}
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/>
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<input
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type="number"
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min="0"
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max="1"
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step="0.05"
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value={segmentationMinConfidenceFilter}
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onChange={(event) => onSetMinConfidenceFilter(Number(event.target.value))}
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/>
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<button type="button" onClick={onLoadResults} disabled={!selectedSegmentationRunId || loadingSegmentationResults}>
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Load segmentations
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</button>
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{loadingSegmentationResults ? <p>Loading segmentation results...</p> : null}
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<p>Segmentations loaded: {segmentationItems.length}</p>
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{segmentationItems.length > 0 ? (
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<table>
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<thead>
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<tr>
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<th>Class</th>
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<th>Confidence</th>
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<th>Area m2</th>
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<th>Model</th>
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<th>Tile</th>
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<th>Mask path</th>
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</tr>
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</thead>
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<tbody>
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{segmentationItems.map((segmentation) => (
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<tr key={segmentation.id}>
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<td>{segmentation.class_name}</td>
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<td>{segmentation.confidence?.toFixed(2) ?? 'n/a'}</td>
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<td>{segmentation.area_m2?.toFixed(2) ?? 'n/a'}</td>
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<td>{segmentation.model_name}</td>
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<td>{segmentation.source_tile_path || (segmentation.tile_index ?? 'n/a')}</td>
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<td>{segmentation.mask_path || 'n/a'}</td>
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</tr>
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))}
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</tbody>
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</table>
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) : null}
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</div>
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<div>
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<h3>Segmentation QA</h3>
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<select value={segmentationReferenceDatasetId} onChange={(event) => onSelectReferenceDataset(event.target.value)}>
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<option value="">Select reference dataset</option>
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{referenceDatasets.map((dataset) => (
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<option key={dataset.id} value={dataset.id}>
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{dataset.name}
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</option>
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))}
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</select>
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<button type="button" onClick={onRunQa} disabled={runningSegmentationQa || !selectedSegmentationRunId || !segmentationReferenceDatasetId}>
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Compare segmentations to reference
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</button>
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{segmentationQaError ? <p className="error">{segmentationQaError}</p> : null}
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{segmentationQaResult ? (
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<div>
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<p>Status: {segmentationQaResult.status}</p>
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<p>Quality check: {segmentationQaResult.quality_check_id}</p>
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<p>Precision: {segmentationQaResult.precision?.toFixed(3) ?? 'n/a'}</p>
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<p>Recall: {segmentationQaResult.recall?.toFixed(3) ?? 'n/a'}</p>
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<p>F1: {segmentationQaResult.f1_score?.toFixed(3) ?? 'n/a'}</p>
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<p>Mean IoU: {segmentationQaResult.mean_iou?.toFixed(3) ?? 'n/a'}</p>
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<p>False positives: {segmentationQaResult.false_positives}</p>
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<p>False negatives: {segmentationQaResult.false_negatives}</p>
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</div>
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) : null}
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</div>
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</section>
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)
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}
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