Inference Parameters

Configure AI inference for geospatial analysis

Structure

interface InferenceParams {
  inputs: InferenceInputs;
  postProcessingParams?: PostProcessingParams;
  mapSourceParams?: MapSourceParams;
}

📋

Required: inputs.polygon - Geographic area to analyze Optional: Post-processing and map source parameters for fine-tuning

Input Parameters

interface InferenceInputs {
  polygon: GeoJSON.Feature<GeoJSON.Polygon>; // Required
  classLablel?: string; // For zero-shot models
  [key: string]: any; // Additional model-specific input parameters as key-value pairs
}

⚠️

Zero-shot detection requires the classLabel parameter with dot-separated object classes

Post-Processing Parameters

Adjusts filtering and refinement of model results.

interface PostProcessingParams {
  // Object Detection Tasks
  confidence?: number; // Minimum confidence score (0.0-1.0)
 
  // Zero-Shot Detection Tasks
  threshold?: number; // Detection sensitivity (0.0-1.0)
  topk?: number; // Maximum detections per class
 
  // Segmentation Tasks
  maxMasks?: number; // Maximum number of masks
 
  // Task-specific parameters
  [key: string]: any;
}

⚙️

Task Variation: Each task uses different post-processing parameters. Check the specific task documentation for available options and recommended values.

Map Source Parameters

Controls how satellite imagery is extracted and processed for inference.

interface MapSourceParams {
  zoomLevel?: number; // Image resolution level
  bands?: number[]; // Spectral bands to use (e.g., [1,2,3] for RGB)
  expression?: string; // Custom band calculations (e.g., NDVI)
}

Zoom Level

Auto-detection: System automatically selects optimal zoom when not specified
Manual control: Set specific zoom level for resolution requirements

Spectral Bands

Multispectral: Include additional bands like [1, 2, 3, 4] for RGB + NIR
Model requirements: Check your task or model documentation for supported band combinations

Band Expressions

NDVI calculation: "(B4-B1)/(B4+B1)" for vegetation analysis
Custom formulas: Create mathematical expressions using band indices

🛰️

Auto-Optimization: When zoom level isn’t specified, the system calculates the minimum tiles needed to cover your polygon area efficiently.

Model Pipeline Map Providers