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Slot: annotation_confidence_level

Confidence on annotation accuracy

URI: bia_mifa_models:annotation_confidence_level

Applicable Classes

Name Description Modifies Slot
Annotations A set of annotations for an AI-ready dataset no

Properties

Examples

Value
Curators had 15 and 20 years of experience working in cancer pathology
To characterize the quality of gold standard segmentation annotations, we calculated the average and standard deviation performance of the three independent annotators relative to the gold truth that was established by merging the triplets of manual annotations. For the whole dataset this metric was 0.904±0.081

Identifier and Mapping Information

Schema Source

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

LinkML Source

name: annotation_confidence_level
description: Confidence on annotation accuracy
examples:
- value: Curators had 15 and 20 years of experience working in cancer pathology
- value: To characterize the quality of gold standard segmentation annotations,  we
    calculated the average and standard deviation performance of the three independent
    annotators  relative to the gold truth that was established by merging the triplets
    of manual annotations.  For the whole dataset this metric was 0.904±0.081
from_schema: https://w3id.org/BioImage-Archive/bia-mifa-models
rank: 1000
alias: annotation_confidence_level
domain_of:
- Annotations
range: string