Create custom dataloader script

rock-glacier-dataset.py

@@ -0,0 +1,79 @@
+"""Rock Glacier dataset with images of the chilean andes"""
+
+import os
+
+import datasets
+from datasets.tasks import ImageClassification
+
+_HOMEPAGE = "https://github.com/alcazar90/rock-glacier-detection"
+
+
+_CITATION = """\
+@ONLINE {rock-glacier-dataset,
+    author="CMM-Glaciares",
+    title="Rock Glacier Dataset",
+    month="October",
+    year="2022",
+    url="https://github.com/alcazar90/rock-glacier-detection"
+}
+"""
+
+_DESCRIPTION = """\
+TODO: Add a description...
+"""
+
+
+_URLS = {
+	"train": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/train.tar.gz",
+	"validation": "https://huggingface.co/datasets/alkzar90/rock-glacier-dataset/resolve/main/data/val.tar.gz"
+}
+
+_NAMES = ["glaciar", "cordillera"]
+
+
+class RockGlacierDataset(datasets.GeneratorBasedBuilder):
+   """Rock Glacier images dataset."""
+
+   def _info(self):
+       return datasets.DatasetInfo(
+       	   description=_DESCRIPTION,
+       	   features=datasets.Features(
+	       {
+		"image": datasets.Image(),
+		"labels": datasets.features.ClassLabel(names=_NAMES),
+	       }
+	   ),
+	   supervised_keys=("image", "labels"),
+	   homepage=_HOMEPAGE,
+	   citation=_CITATION,
+	   task_templates=[ImageClassification(image_column="image", label_column="labels")],
+	)
+	
+
+   def _split_generators(self, dl_manager):
+       data_files = dl_manager.download_and_extract(_URLS)
+       return [
+	   datasets.SplitGenerator(
+	       name=datasets.Split.TRAIN,
+	       gen_kwargs={
+		   "files": dl_manager.iter_files([data_files["train"]]),
+	       }
+	   ),
+	   datasets.SplitGenerator(
+	       name=datasets.Split.VALIDATION,
+	       gen_kwargs={
+		   "files": dl_manager.iter_files([data_files["validation"]]),
+	       }
+ 	   ),
+       ]
+
+   def _generate_examples(self, files):
+       for i, path in enumerate(files):
+           file_name = os.path.basename(path)
+	   if file_name.endswith("png"):
+ 	       yield i, {
+		   "image": path,
+		   "labels": os.path.basename(os.path.dirname(path)).lower(),
+	       }
+
+