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101 lines
1.5 KiB
Markdown
101 lines
1.5 KiB
Markdown
# Domain Model
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## Project
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A project represents a GeoAI investigation. It is not just a folder. It defines the purpose, spatial areas, datasets, analysis runs, and outputs.
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Fields:
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- id
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- name
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- description
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- region
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- status
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- created_at
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- updated_at
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Relationships:
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- has many areas
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- has many datasets
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- has many analysis_runs
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- has many exports
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## Area
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An area is a selected geometry, usually a polygon. It may represent a municipality, manually drawn polygon, bounding box, or uploaded GeoJSON geometry.
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Rules:
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- Must have valid geometry.
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- Must have a calculated area in square meters.
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- Must keep original input geometry if uploaded.
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- Must be convertible to GeoJSON.
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## Dataset
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A dataset is any input or derived geospatial artifact.
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Dataset types:
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- raster
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- vector
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- reference
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- detection_output
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- segmentation_output
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- mask
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- tile_set
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- export
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Dataset statuses:
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- registered
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- uploaded
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- metadata_extracted
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- processed
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- failed
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## AnalysisRun
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Tracks execution of a pipeline.
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Analysis types:
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- raster_metadata
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- raster_clip
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- raster_tile
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- vector_import
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- object_detection
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- segmentation
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- qaqc
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- change_detection
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- export
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## Detection
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A model-detected object. V1 supports bounding boxes converted into geospatial polygons.
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Important fields:
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- class_name
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- confidence
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- geometry
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- bbox_pixel
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- bbox_geo
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- source_tile
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- model_id
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## QualityCheck
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A measured comparison between predicted features and reference features.
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Core metrics:
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- precision
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- recall
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- f1
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- mean_iou
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- matched_count
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- false_positive_count
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- false_negative_count
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