Source code for aitlas.datasets.rsi_cb256
from .multiclass_classification import MultiClassClassificationDataset
LABELS = [
"airplane",
"airport_runway",
"artificial_grassland",
"avenue",
"bare_land",
"bridge",
"city_building",
"coastline",
"container",
"crossroads",
"dam",
"desert",
"dry_farm",
"forest",
"green_farmland",
"highway",
"hirst",
"lakeshore",
"mangrove",
"marina",
"mountain",
"parkinglot",
"pipeline",
"residents",
"river",
"river_protection_forest",
"sandbeach",
"sapling",
"sea",
"shrubwood",
"snow_mountain",
"sparse_forest",
"storage_room",
"stream",
"town",
]
[docs]class RSICB256Dataset(MultiClassClassificationDataset):
url = "https://github.com/lehaifeng/RSI-CB"
labels = LABELS
name = "RSI-CB256 dataset"
def __init__(self, config):
# now call the constructor to validate the schema and load the data
super().__init__(config)