PierreLeveau commited on
Commit
af27ffa
1 Parent(s): 53d470d

add 4th class

Browse files
Files changed (1) hide show
  1. plastic_in_river.py +4 -5
plastic_in_river.py CHANGED
@@ -7,8 +7,8 @@ from PIL import Image
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  _DESCRIPTION = """
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- This dataset contains photos of rivers on which there may be waste. The waste items are annotated
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- through bounding boxes, and are assigned to one of the 4 following categories: plastic bottle, plastic bag,
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  another plastic waste, or non-plastic waste. Note that some photos may not contain any waste.
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  """
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@@ -41,13 +41,13 @@ class PlasticInRiver(datasets.GeneratorBasedBuilder):
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  "image": datasets.Image(),
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  "litter": datasets.Sequence(
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  {
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- "label": datasets.ClassLabel(num_classes=3, names=["PLASTIC_BAG", "PLASTIC_BOTTLE", "OTHER_PLASTIC_WASTE"]),
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  "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
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  }
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  )
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  }
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  )
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-
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=features,
@@ -90,4 +90,3 @@ class PlasticInRiver(datasets.GeneratorBasedBuilder):
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  })
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  yield idx, data
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-
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  _DESCRIPTION = """
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+ This dataset contains photos of rivers on which there may be waste. The waste items are annotated
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+ through bounding boxes, and are assigned to one of the 4 following categories: plastic bottle, plastic bag,
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  another plastic waste, or non-plastic waste. Note that some photos may not contain any waste.
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  """
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  "image": datasets.Image(),
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  "litter": datasets.Sequence(
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  {
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+ "label": datasets.ClassLabel(num_classes=4, names=["PLASTIC_BAG", "PLASTIC_BOTTLE", "OTHER_PLASTIC_WASTE", "NOT_PLASTIC_WASTE"]),
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  "bbox": datasets.Sequence(datasets.Value("float32"), length=4),
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  }
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  )
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  }
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  )
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+
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  return datasets.DatasetInfo(
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  description=_DESCRIPTION,
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  features=features,
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  })
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  yield idx, data