Enum: AnnotationType

URI: AnnotationType

Permissible Values

Value	Meaning	Description
class_labels	None	tags that identify specific features, patterns or classes in images
bounding_boxes	None	rectangles completely enclosing a structure of interest within an image
counts	None	number of objects, such as cells, found in an image
derived_annotations	None	additional analytical data extracted from the images
geometrical_annotations	None	polygons and shapes that outline a region of interest in the image
graphs	None	graphical representations of the morphology, connectivity, or spatial arrange...
point_annotations	None	X, Y, and Z coordinates of a point of interest in an image (for example an ob...
segmentation_mask	None	an image, the same size as the source image, with the value of each pixel rep...
tracks	None	annotations marking the movement or trajectory of objects within a sequence o...
weak_annotations	None	rough imprecise annotations that are fast to generate
other	None	other types of annotations, please specify in the annotation overview section

Slots

Name	Description
annotation_type	Annotation type, for example class labels, segmentation masks, counts

Identifier and Mapping Information

Schema Source

• from schema: https://w3id.org/BioImage-Archive/bia-mifa-models

LinkML Source

name: AnnotationType
from_schema: https://w3id.org/BioImage-Archive/bia-mifa-models
rank: 1000
permissible_values:
  class_labels:
    text: class_labels
    description: tags that identify specific features, patterns or classes in images
    todos:
    - map this to an ontology
  bounding_boxes:
    text: bounding_boxes
    description: rectangles completely enclosing a structure of interest within an
      image
    todos:
    - map this to an ontology
  counts:
    text: counts
    description: number of objects, such as cells, found in an image
    todos:
    - map this to an ontology
  derived_annotations:
    text: derived_annotations
    description: additional analytical data extracted from the images. For example,
      the image point spread function,the signal to noise ratio, focus information…
    todos:
    - map this to an ontology
  geometrical_annotations:
    text: geometrical_annotations
    description: polygons and shapes that outline a region of interest in the image.
      These can be geometrical primitives, 2D polygons, 3D meshes…
    todos:
    - map this to an ontology
  graphs:
    text: graphs
    description: graphical representations of the morphology, connectivity, or spatial
      arrangement of biological structures in an image. Graphs, such as skeletons
      or connectivity diagrams, typically consist of nodes and edges, where nodes
      represent individual elements or regions and edges represent the connections
      or interactions between them
    todos:
    - map this to an ontology
  point_annotations:
    text: point_annotations
    description: X, Y, and Z coordinates of a point of interest in an image (for example
      an object's centroid  or landmarks).
    todos:
    - map this to an ontology
  segmentation_mask:
    text: segmentation_mask
    description: an image, the same size as the source image, with the value of each
      pixel representing some biological identity or background region
    todos:
    - map this to an ontology
  tracks:
    text: tracks
    description: annotations marking the movement or trajectory of objects within
      a sequence of bioimages
    todos:
    - map this to an ontology
  weak_annotations:
    text: weak_annotations
    description: rough imprecise annotations that are fast to generate. These annotations
      are used, for example,  to detect an object without providing accurate boundaries
    todos:
    - map this to an ontology
  other:
    text: other
    description: other types of annotations, please specify in the annotation overview
      section
    todos:
    - map this to an ontology