from .multiclass_classification import MultiClassClassificationDataset
LABELS = [
"airplane",
"airport",
"baseball_diamond",
"basketball_court",
"beach",
"bridge",
"chaparral",
"church",
"circular_farmland",
"cloud",
"commercial_area",
"dense_residential",
"desert",
"forest",
"freeway",
"golf_course",
"ground_track_field",
"harbor",
"industrial_area",
"intersection",
"island",
"lake",
"meadow",
"medium_residential",
"mobile_home_park",
"mountain",
"overpass",
"palace",
"parking_lot",
"railway",
"railway_station",
"rectangular_farmland",
"river",
"roundabout",
"runway",
"sea_ice",
"ship",
"snowberg",
"sparse_residential",
"stadium",
"storage_tank",
"tennis_court",
"terrace",
"thermal_power_station",
"wetland",
]
[docs]class Resisc45Dataset(MultiClassClassificationDataset):
url = "https://www.tensorflow.org/datasets/catalog/resisc45"
labels = LABELS
name = "RESISC45 dataset"
def __init__(self, config):
# now call the constructor to validate the schema and load the data
super().__init__(config)
