Common Label Properties#
Different types of labels contain different aspects of annotation information about the data. Some are more general, and some are unique to a specific label type.
Three common properties of a label will be introduced first, and the unique ones will be explained under the corresponding type of label.
Take a 2D box label as an example:
>>> from tensorbay.label import LabeledBox2D
>>> box2d_label = LabeledBox2D(
... 10, 20, 30, 40,
... category="<LABEL_CATEGORY>",
... attributes={"<LABEL_ATTRIBUTE_NAME>": "<LABEL_ATTRIBUTE_VALUE>"},
... instance="<LABEL_INSTANCE_ID>"
... )
>>> box2d_label
LabeledBox2D(10, 20, 30, 40)(
(category): '<LABEL_CATEGORY>',
(attributes): {...},
(instance): '<LABEL_INSTANCE_ID>'
)
category#
Category is a string indicating the class of the labeled object.
>>> box2d_label.category
'<LABEL_CATEGORY>'
attributes#
Attributes are the additional information about this data, and there is no limit on the number of attributes.
The attribute names and values are stored in key-value pairs.
>>> box2d_label.attributes
{'<LABEL_ATTRIBUTE_NAME>': '<LABEL_ATTRIBUTE_VALUE>'}
instance#
Instance is the unique id for the object inside of the label, which is mostly used for tracking tasks.
>>> box2d_label.instance
"<LABEL_INSTANCE_ID>"