Deriving Ground Truth Labels for Regression Problems Using Annotator Precision

When training machine learning models with practical applications, a quality ground truth dataset is critical. Unlike in classification problems, there is currently no effective method for determining a single ground truth value or landmark from a set of annotations in regression problems. We propos...

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Bibliographic Details
Main Authors: Benjamin Johnston, Philip de Chazal
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/13/16/9130