codebase/inference/classname_and_prompt/RSEuroSAT.py

# classes = [
#     'forest',
#     'permanent crop land',
#     'residential buildings or homes or apartments',
#     'river',
#     'pasture land',
#     'lake or sea',
#     'brushland or shrubland',
#     'annual crop land',
#     'industrial buildings or commercial buildings',
#     'highway or road',
# ]
# ['River', 'AnnualCrop', 'HerbaceousVegetation', 'Industrial', 'Residential', 'Highway', 'Pasture', 'Forest', 'SeaLake', 'PermanentCrop']

# classes = [
#     'river',
#     'annual crop land',
#     'brushland or shrubland',
#     'industrial buildings or commercial buildings',
#     'residential buildings or homes or apartments',
#     'highway or road',
#     'pasture land',
#     'forest',
#     'lake or sea',
#     'permanent crop land',
# ]

# templates = [
#     'a centered satellite photo of {}.',
#     'a centered satellite photo of a {}.',
#     'a centered satellite photo of the {}.',
# ]

templates = [
    'a remote sensing image of many {}.',
    'a remote sensing image of a {}.',
    'a remote sensing image of the {}.',
    'a remote sensing image of the hard to see {}.',
    'a remote sensing image of a hard to see {}.',
    'a low resolution remote sensing image of the {}.',
    'a low resolution remote sensing image of a {}.',
    'a bad remote sensing image of the {}.',
    'a bad remote sensing image of a {}.',
    'a cropped remote sensing image of the {}.',
    'a cropped remote sensing image of a {}.',
    'a bright remote sensing image of the {}.',
    'a bright remote sensing image of a {}.',
    'a dark remote sensing image of the {}.',
    'a dark remote sensing image of a {}.',
    'a close-up remote sensing image of the {}.',
    'a close-up remote sensing image of a {}.',
    'a black and white remote sensing image of the {}.',
    'a black and white remote sensing image of a {}.',
    'a jpeg corrupted remote sensing image of the {}.',
    'a jpeg corrupted remote sensing image of a {}.',
    'a blurry remote sensing image of the {}.',
    'a blurry remote sensing image of a {}.',
    'a good remote sensing image of the {}.',
    'a good remote sensing image of a {}.',
    'a remote sensing image of the large {}.',
    'a remote sensing image of a large {}.',
    'a remote sensing image of the nice {}.',
    'a remote sensing image of a nice {}.',
    'a remote sensing image of the small {}.',
    'a remote sensing image of a small {}.',
    'a remote sensing image of the weird {}.',
    'a remote sensing image of a weird {}.',
    'a remote sensing image of the cool {}.',
    'a remote sensing image of a cool {}.',
    'an aerial image of many {}.',
    'an aerial image of a {}.',
    'an aerial image of the {}.',
    'an aerial image of the hard to see {}.',
    'an aerial image of a hard to see {}.',
    'a low resolution aerial image of the {}.',
    'a low resolution aerial image of a {}.',
    'a bad aerial image of the {}.',
    'a bad aerial image of a {}.',
    'a cropped aerial image of the {}.',
    'a cropped aerial image of a {}.',
    'a bright aerial image of the {}.',
    'a bright aerial image of a {}.',
    'a dark aerial image of the {}.',
    'a dark aerial image of a {}.',
    'a close-up aerial image of the {}.',
    'a close-up aerial image of a {}.',
    'a black and white aerial image of the {}.',
    'a black and white aerial image of a {}.',
    'a jpeg corrupted aerial image of the {}.',
    'a jpeg corrupted aerial image of a {}.',
    'a blurry aerial image of the {}.',
    'a blurry aerial image of a {}.',
    'a good aerial image of the {}.',
    'a good aerial image of a {}.',
    'an aerial image of the large {}.',
    'an aerial image of a large {}.',
    'an aerial image of the nice {}.',
    'an aerial image of a nice {}.',
    'an aerial image of the small {}.',
    'an aerial image of a small {}.',
    'an aerial image of the weird {}.',
    'an aerial image of a weird {}.',
    'an aerial image of the cool {}.',
    'an aerial image of a cool {}.',
    'a satellite image of many {}.',
    'a satellite image of a {}.',
    'a satellite image of the {}.',
    'a satellite image of the hard to see {}.',
    'a satellite image of a hard to see {}.',
    'a low resolution satellite image of the {}.',
    'a low resolution satellite image of a {}.',
    'a bad satellite image of the {}.',
    'a bad satellite image of a {}.',
    'a cropped satellite image of the {}.',
    'a cropped satellite image of a {}.',
    'a bright satellite image of the {}.',
    'a bright satellite image of a {}.',
    'a dark satellite image of the {}.',
    'a dark satellite image of a {}.',
    'a close-up satellite image of the {}.',
    'a close-up satellite image of a {}.',
    'a black and white satellite image of the {}.',
    'a black and white satellite image of a {}.',
    'a jpeg corrupted satellite image of the {}.',
    'a jpeg corrupted satellite image of a {}.',
    'a blurry satellite image of the {}.',
    'a blurry satellite image of a {}.',
    'a good satellite image of the {}.',
    'a good satellite image of a {}.',
    'a satellite image of the large {}.',
    'a satellite image of a large {}.',
    'a satellite image of the nice {}.',
    'a satellite image of a nice {}.',
    'a satellite image of the small {}.',
    'a satellite image of a small {}.',
    'a satellite image of the weird {}.',
    'a satellite image of a weird {}.',
    'a satellite image of the cool {}.',
    'a satellite image of a cool {}.',
]