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import datasets |
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from datasets.data_files import DataFilesDict |
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from datasets.packaged_modules.imagefolder.imagefolder import ImageFolder, ImageFolderConfig |
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logger = datasets.logging.get_logger(__name__) |
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class RESISC45(ImageFolder): |
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R""" |
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RESISC45 dataset for image classification. |
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""" |
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BUILDER_CONFIG_CLASS = ImageFolderConfig |
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BUILDER_CONFIGS = [ |
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ImageFolderConfig( |
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name="default", |
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features=("images", "labels"), |
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data_files=DataFilesDict( |
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{ |
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split: f"data/{split}.zip" |
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for split in ["train", "test"] |
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+ ["contrast", "gaussian_noise", "impulse_noise", "jpeg_compression", "motion_blur", "pixelate", "spatter"] |
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} |
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), |
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) |
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] |
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classnames = [ |
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"airplane", |
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"airport", |
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"baseball diamond", |
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"basketball court", |
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"beach", |
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"bridge", |
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"chaparral", |
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"church", |
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"circular farmland", |
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"cloud", |
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"commercial area", |
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"dense residential", |
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"desert", |
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"forest", |
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"freeway", |
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"golf course", |
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"ground track field", |
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"harbor", |
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"industrial area", |
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"intersection", |
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"island", |
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"lake", |
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"meadow", |
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"medium residential", |
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"mobile home park", |
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"mountain", |
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"overpass", |
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"palace", |
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"parking lot", |
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"railway", |
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"railway station", |
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"rectangular farmland", |
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"river", |
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"roundabout", |
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"runway", |
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"sea ice", |
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"ship", |
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"snowberg", |
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"sparse residential", |
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"stadium", |
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"storage tank", |
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"tennis court", |
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"terrace", |
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"thermal power station", |
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"wetland", |
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] |
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clip_templates = [ |
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lambda c: f"satellite imagery of {c}.", |
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lambda c: f"aerial imagery of {c}.", |
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lambda c: f"satellite photo of {c}.", |
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lambda c: f"aerial photo of {c}.", |
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lambda c: f"satellite view of {c}.", |
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lambda c: f"aerial view of {c}.", |
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lambda c: f"satellite imagery of a {c}.", |
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lambda c: f"aerial imagery of a {c}.", |
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lambda c: f"satellite photo of a {c}.", |
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lambda c: f"aerial photo of a {c}.", |
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lambda c: f"satellite view of a {c}.", |
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lambda c: f"aerial view of a {c}.", |
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lambda c: f"satellite imagery of the {c}.", |
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lambda c: f"aerial imagery of the {c}.", |
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lambda c: f"satellite photo of the {c}.", |
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lambda c: f"aerial photo of the {c}.", |
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lambda c: f"satellite view of the {c}.", |
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lambda c: f"aerial view of the {c}.", |
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] |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="RESISC45 dataset for image classification.", |
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features=datasets.Features( |
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{ |
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"image": datasets.Image(), |
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"label": datasets.ClassLabel(names=self.classnames), |
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} |
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), |
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supervised_keys=("image", "label"), |
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task_templates=[datasets.ImageClassification(image_column="image", label_column="label")], |
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) |
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