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import datasets |
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from PIL import Image |
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import pandas as pd |
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from pathlib import Path |
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class CUB200(datasets.GeneratorBasedBuilder): |
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"""Caltech-UCSD Birds-200-2011 (CUB-200-2011) Dataset""" |
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VERSION = datasets.Version("1.0.0") |
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def _info(self): |
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return datasets.DatasetInfo( |
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description="""The Caltech-UCSD Birds-200-2011 dataset consists of 11,788 images of 200 bird species.""", |
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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._labels()) |
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} |
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), |
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supervised_keys=("image", "label"), |
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homepage="https://www.vision.caltech.edu/datasets/cub_200_2011/", |
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citation="""@techreport{WahCUB_200_2011, |
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Title = {The Caltech-UCSD Birds-200-2011 Dataset}, |
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Author = {Wah, C. and Branson, S. and Welinder, P. and Perona, P. and Belongie, S.}, |
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Year = {2011}, |
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Institution = {California Institute of Technology}, |
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Number = {CNS-TR-2011-001}}""" |
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) |
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def _split_generators(self, dl_manager): |
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extracted_path = dl_manager.download_and_extract("https://data.caltech.edu/records/65de6-vp158/files/CUB_200_2011.tgz?download=1") |
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data_dir = Path(extracted_path) / "CUB_200_2011" |
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return [ |
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datasets.SplitGenerator( |
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name=datasets.Split.TRAIN, |
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gen_kwargs={"data_dir": data_dir, "split": "train"}, |
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), |
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datasets.SplitGenerator( |
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name=datasets.Split.TEST, |
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gen_kwargs={"data_dir": data_dir, "split": "test"}, |
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) |
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] |
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def _generate_examples(self, data_dir, split): |
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"""Generate examples from the extracted directory.""" |
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image_labels_path = data_dir / "image_class_labels.txt" |
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image_paths_path = data_dir / "images.txt" |
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train_test_split_path = data_dir / "train_test_split.txt" |
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images_df = pd.read_csv(image_paths_path, sep='\s+', header=None, names=["image_id", "file_path"]) |
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labels_df = pd.read_csv(image_labels_path, sep='\s+', header=None, names=["image_id", "label"]) |
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split_df = pd.read_csv(train_test_split_path, sep='\s+', header=None, names=["image_id", "is_training"]) |
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data_df = images_df.merge(labels_df, on="image_id").merge(split_df, on="image_id") |
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data_df["label"] -= 1 |
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is_training_split = 1 if split == "train" else 0 |
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split_data = data_df[data_df["is_training"] == is_training_split] |
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for _, row in split_data.iterrows(): |
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image_path = data_dir / "images" / row['file_path'] |
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label = row["label"] |
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with open(image_path, "rb") as img_file: |
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image = Image.open(img_file).convert("RGB") |
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yield row["image_id"], { |
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"image": image, |
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"label": label, |
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} |
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@staticmethod |
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def _labels(): |
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return [ |
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"Black_footed_Albatross", "Laysan_Albatross", "Sooty_Albatross", "Groove_billed_Ani", |
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"Crested_Auklet", "Least_Auklet", "Parakeet_Auklet", "Rhinoceros_Auklet", "Brewer_Blackbird", |
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"Red_winged_Blackbird", "Rusty_Blackbird", "Yellow_headed_Blackbird", "Bobolink", |
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"Indigo_Bunting", "Lazuli_Bunting", "Painted_Bunting", "Cardinal", "Spotted_Catbird", |
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"Gray_Catbird", "Yellow_breasted_Chat", "Eastern_Towhee", "Chuck_will_Widow", |
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"Brandt_Cormorant", "Red_faced_Cormorant", "Pelagic_Cormorant", "Bronzed_Cowbird", |
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"Shiny_Cowbird", "Brown_Creeper", "American_Crow", "Fish_Crow", "Black_billed_Cuckoo", |
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"Mangrove_Cuckoo", "Yellow_billed_Cuckoo", "Gray_crowned_Rosy_Finch", "Purple_Finch", |
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"Northern_Flicker", "Acadian_Flycatcher", "Great_Crested_Flycatcher", "Least_Flycatcher", |
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"Olive_sided_Flycatcher", "Scissor_tailed_Flycatcher", "Vermilion_Flycatcher", |
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"Yellow_bellied_Flycatcher", "Frigatebird", "Northern_Fulmar", "Gadwall", "American_Goldfinch", |
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"European_Goldfinch", "Boat_tailed_Grackle", "Eared_Grebe", "Horned_Grebe", |
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"Pied_billed_Grebe", "Western_Grebe", "Blue_Grosbeak", "Evening_Grosbeak", "Pine_Grosbeak", |
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"Rose_breasted_Grosbeak", "Pigeon_Guillemot", "California_Gull", "Glaucous_winged_Gull", |
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"Heermann_Gull", "Herring_Gull", "Ivory_Gull", "Ring_billed_Gull", "Slaty_backed_Gull", |
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"Western_Gull", "Anna_Hummingbird", "Ruby_throated_Hummingbird", "Rufous_Hummingbird", |
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"Green_Violetear", "Long_tailed_Jaeger", "Pomarine_Jaeger", "Blue_Jay", "Florida_Jay", |
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"Green_Jay", "Dark_eyed_Junco", "Tropical_Kingbird", "Gray_Kingbird", "Belted_Kingfisher", |
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"Green_Kingfisher", "Pied_Kingfisher", "Ringed_Kingfisher", "White_breasted_Kingfisher", |
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"Red_legged_Kittiwake", "Horned_Lark", "Pacific_Loon", "Mallard", "Western_Meadowlark", |
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"Hooded_Merganser", "Red_breasted_Merganser", "Mockingbird", "Nighthawk", "Clark_Nutcracker", |
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"White_breasted_Nuthatch", "Baltimore_Oriole", "Hooded_Oriole", "Orchard_Oriole", |
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"Scott_Oriole", "Ovenbird", "Brown_Pelican", "White_Pelican", "Western_Wood_Pewee", |
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"Sayornis", "American_Pipit", "Whip_poor_Will", "Horned_Puffin", "Common_Raven", |
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"White_necked_Raven", "American_Redstart", "Geococcyx", "Loggerhead_Shrike", |
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"Great_Grey_Shrike", "Baird_Sparrow", "Black_throated_Sparrow", "Brewer_Sparrow", |
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"Chipping_Sparrow", "Clay_colored_Sparrow", "House_Sparrow", "Field_Sparrow", |
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"Fox_Sparrow", "Grasshopper_Sparrow", "Harris_Sparrow", "Henslow_Sparrow", |
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"Le_Conte_Sparrow", "Lincoln_Sparrow", "Nelson_Sharp_tailed_Sparrow", "Savannah_Sparrow", |
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"Seaside_Sparrow", "Song_Sparrow", "Tree_Sparrow", "Vesper_Sparrow", |
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"White_crowned_Sparrow", "White_throated_Sparrow", "Cape_Glossy_Starling", |
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"Bank_Swallow", "Barn_Swallow", "Cliff_Swallow", "Tree_Swallow", "Scarlet_Tanager", |
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"Summer_Tanager", "Arctic_Tern", "Black_Tern", "Caspian_Tern", "Common_Tern", |
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"Elegant_Tern", "Forster_Tern", "Least_Tern", "Green_tailed_Towhee", "Brown_Thrasher", |
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"Sage_Thrasher", "Black_capped_Vireo", "Blue_headed_Vireo", "Philadelphia_Vireo", |
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"Red_eyed_Vireo", "Warbling_Vireo", "White_eyed_Vireo", "Yellow_throated_Vireo", |
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"Bay_breasted_Warbler", "Black_and_white_Warbler", "Black_throated_Blue_Warbler", |
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"Blue_winged_Warbler", "Canada_Warbler", "Cape_May_Warbler", "Cerulean_Warbler", |
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"Chestnut_sided_Warbler", "Golden_winged_Warbler", "Hooded_Warbler", "Kentucky_Warbler", |
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"Magnolia_Warbler", "Mourning_Warbler", "Myrtle_Warbler", "Nashville_Warbler", |
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"Orange_crowned_Warbler", "Palm_Warbler", "Pine_Warbler", "Prairie_Warbler", |
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"Prothonotary_Warbler", "Swainson_Warbler", "Tennessee_Warbler", "Wilson_Warbler", |
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"Worm_eating_Warbler", "Yellow_Warbler", "Northern_Waterthrush", "Louisiana_Waterthrush", |
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"Bohemian_Waxwing", "Cedar_Waxwing", "American_Three_toed_Woodpecker", |
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"Pileated_Woodpecker", "Red_bellied_Woodpecker", "Red_cockaded_Woodpecker", |
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"Red_headed_Woodpecker", "Downy_Woodpecker", "Bewick_Wren", "Cactus_Wren", |
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"Carolina_Wren", "House_Wren", "Marsh_Wren", "Rock_Wren", "Winter_Wren", |
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"Common_Yellowthroat" |
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] |
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