metadata
id: aquaculture
type: element
name: Aquaculture area and facilities
task_types:
- semantic_segmentation
- instance_segmentation
- change_detection
- polygon_extraction
preferred_heads:
- validity
- context
- semantic_segmentation
- instance
- change_detection
label_formats:
- mask
- polygon
- coco
- geojson
- shp
positive_label: aquaculture
negative_policy: unlabeled_is_ignore
typical_sensors:
- PMS
- MUX
- MSI
- SAR
typical_resolutions_m:
- 1
- 2
- 10
Aquaculture
Aquaculture may appear as dense rafts, cages, ponds, lines, grids, or coastal facilities. It is not only a semantic segmentation problem; some datasets may require instance, polygon, or change-detection heads.
Required Context
- Ships, docks, land structures, and waves are hard negatives.
- Scale is critical; preserve resolution and patch-size metadata.