Comprehensive Evaluation of Paprika Instance Segmentation Models Based on Segmentation Quality and Confidence Score Reliability

Fruit instance segmentation models are widely researched for inference tasks such as yield prediction and automated harvesting. Previous studies evaluated these models only on the basis of mask average precision; they overlooked segmentation quality and confidence score reliability—both crucial for...

Full description

Saved in:
Bibliographic Details
Main Authors: Nozomu Ohta, Kota Shimomoto, Hiroki Naito, Masakazu Kashino, Sota Yoshida, Tokihiro Fukatsu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Horticulturae
Subjects:
Online Access:https://www.mdpi.com/2311-7524/11/5/525
Tags: Add Tag
No Tags, Be the first to tag this record!