Quantitative Analysis of the Labeling Quality of Biological Images for Semantic Segmentation Based on Attribute Agreement Analysis

Semantic segmentation in biological images is increasingly common, particularly in smart agriculture, where deep learning model precision is tied to image labeling quality. However, research has largely focused on improving models rather than analyzing image labeling quality. We proposed a method fo...

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Bibliographic Details
Main Authors: Rong Xiang, Xinyu Yuan, Yi Zhang, Xiaomin Zhang
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Agriculture
Subjects:
Online Access:https://www.mdpi.com/2077-0472/15/7/680
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