# Unified 17-class open-vocabulary segmentation (shared across all datasets)
# See scripts/seg_classes.py for canonical source, docs/segmentation_class_analysis.md for rationale
SegConfig.prompts = [
    'background',                   # 0  — unclassified
    'building',                     # 1  — buildings, rooftops
    'road',                         # 2  — roads, asphalt
    'vegetation',                   # 3  — trees, bushes, forest canopy
    'water',                        # 4  — rivers, canals, sea, lakes
    'sand and gravel ground',       # 5  — soil, gravel, sand, dust, bare earth
    'rocky terrain',                # 6  — rock, stone, lava, canyon walls
    'farmland',                     # 7  — agricultural terraces, fields
    'railway',                      # 8  — railway tracks, rails
    'parking lot',                  # 9  — parking areas
    'sidewalk',                     # 10 — sidewalks, pedestrian zones
    'bare soil and plowed field',   # 11 — plowed fields, construction sites
    'roof and rooftop',             # 12 — rooftops, solar panels
    'sports field and playground',  # 13 — courts, pitches
    'muddy ground and wetland',     # 14 — wet soil, marshes, levee banks
    'embankment and levee',         # 15 — earthen dams, canal walls
    'swimming pool',                # 16 — pools (GTA-UAV suburbs)
]
SegConfig.threshold = 0.15
SegConfig.default_resolution = 1008