UDED

该数据集名为UDED，主要用于评估边缘检测模型的性能，特别关注所提出E-S架构带来的改进。在数据集评估过程中，遵循严格的误差容差距离标准，旨在突出边缘检测性能的提升。该任务的主题是边缘检测。

This dataset, named UDED, is primarily utilized for evaluating the performance of edge detection models, with a particular emphasis on the improvements yielded by the proposed E-S architecture. During the dataset's evaluation workflow, strict error tolerance distance criteria are adhered to, aiming to highlight the performance enhancements achieved in edge detection. The core task addressed by this dataset is edge detection.

搜集汇总

背景与挑战

背景概述

UDED数据集是一个专门用于评估边缘检测模型性能的数据集，特别强调E-S架构带来的改进。它采用严格的误差容错距离标准进行评测，旨在有效提升边缘检测任务的性能表现。