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update the land cover task documentation
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docs/pages/supported-tasks/land-cover-classification.mdx

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@@ -68,11 +68,10 @@ const pipeline = await geoai.pipeline(
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// Run classification
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const result = await pipeline.inference({
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inputs: { polygon: myPolygon },
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postProcessingParams: { minArea: 20 },
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});
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console.log(
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`Classified ${result.classifications.features.length} land cover areas`
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`Detections ${result.detections.features.length}`
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);
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```
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@@ -83,14 +82,6 @@ console.log(
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## Parameters
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### Post-Processing
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```typescript
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postProcessingParams: {
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minArea: 20; // Minimum area threshold for classification polygons
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}
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```
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### Map Source
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```typescript
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## Output
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Returns a list of GeoJSON FeatureCollections (one for each land cover class):
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Returns a FeatureCollection (each feature has its own land cover class):
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```typescript
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{
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geoRawImage : GeoRawImage, // Inference image
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outPutImage : GeoRawImage, // combined masks
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binaryMasks : RawImage // binary mask for each class
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detections: [ // list of FeatureCollection
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{
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detections: {
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type: "FeatureCollection",
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features: [
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{
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}
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}
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]
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},
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{
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type: "FeatureCollection",
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features: [
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{
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geometry: { /* agriculture polygon */ },
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properties: {
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class: "agriculture land"
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}
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}
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]
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}
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// ... one FeatureCollection for each detected land cover class
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]
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}
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```

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