Datasets:
Tasks:
Image Classification
Sub-tasks:
multi-class-image-classification
Languages:
English
Size:
1K<n<10K
License:
New dataset version
Browse files- rock-glacier-dataset.py +24 -6
rock-glacier-dataset.py
CHANGED
@@ -19,8 +19,10 @@ import re
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import datasets
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from datasets.tasks import ImageClassification
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datasets.logging.
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logger = datasets.logging.get_logger(__name__)
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_HOMEPAGE = "https://github.com/alcazar90/rock-glacier-detection"
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@@ -41,12 +43,20 @@ TODO: Add a description...
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"""
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_URLS = {
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"train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/train.zip",
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"validation": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/
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}
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_NAMES = ["glaciar", "cordillera"]
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@@ -112,6 +122,13 @@ class RockGlacierDataset(datasets.GeneratorBasedBuilder):
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"split": "validation",
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},
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),
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]
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if self.config.name == "image-segmentation":
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@@ -131,7 +148,8 @@ class RockGlacierDataset(datasets.GeneratorBasedBuilder):
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if self.config.name == "image-classification":
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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yield i, {
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"image": path,
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"labels": os.path.basename(os.path.dirname(path)).lower(),
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@@ -153,4 +171,4 @@ class RockGlacierDataset(datasets.GeneratorBasedBuilder):
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"image": path,
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"labels": imageId2mask[re.search('\d+', file_name).group(0)]
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}
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-
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import datasets
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from datasets.tasks import ImageClassification
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datasets.logging.set_verbosity_debug()
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logger = datasets.logging.get_logger(__name__)
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#datasets.logging.set_verbosity_info()
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#datasets.logging.set_verbosity_debug()
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_HOMEPAGE = "https://github.com/alcazar90/rock-glacier-detection"
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"""
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#_URLS = {
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# "train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/train.zip",
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# "validation": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/validation.zip",
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# "train_mask": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/glaciar_masks_trainset.zip",
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#}
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_URLS = {
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"train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/train.zip",
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"validation": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/val.zip",
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"test": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/data_v01/test.zip",
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}
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_NAMES = ["glaciar", "cordillera"]
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"split": "validation",
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},
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),
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datasets.SplitGenerator(
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name=datasets.Split.TEST,
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gen_kwargs={
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"files": dl_manager.iter_files([data_files["test"]]),
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"split": "test",
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},
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),
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]
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if self.config.name == "image-segmentation":
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if self.config.name == "image-classification":
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for i, path in enumerate(files):
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file_name = os.path.basename(path)
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dir_name = os.path.basename(os.path.dirname(path))
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if dir_name != "masks" and file_name.endswith(".png"):
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yield i, {
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"image": path,
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"labels": os.path.basename(os.path.dirname(path)).lower(),
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"image": path,
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"labels": imageId2mask[re.search('\d+', file_name).group(0)]
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}
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+
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