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Fix indentation error - semantic_segmentation.md (#28117)

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Update semantic_segmentation.md
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2023-12-18 23:17:54 +05:30
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docs/source/en/tasks/semantic_segmentation.md
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@@ -276,8 +276,7 @@ You could also create and use your own dataset if you prefer to train with the [
"label": sorted(label_paths)}) "label": sorted(label_paths)})
dataset = dataset.cast_column("image", Image()) dataset = dataset.cast_column("image", Image())
dataset = dataset.cast_column("label", Image()) dataset = dataset.cast_column("label", Image())
return dataset
return dataset
# step 1: create Dataset objects # step 1: create Dataset objects
train_dataset = create_dataset(image_paths_train, label_paths_train) train_dataset = create_dataset(image_paths_train, label_paths_train)