在本研究中,我们采用了名为“fabric defect detection”的数据集,以改进YOLOv8的织物缺陷检测系统。该数据集专注于织物表面缺陷的识别与分类,旨在为计算机视觉领域提供高质量的训练数据,提升自动化检测的准确性和效率。数据集包含五个主要类别,尽管在类别名称的描述中存在一些不明确的信息,但这些类别涵盖了织物缺陷检测的...
Fabric defect detection is a significant phase of quality control in textile industry. Manual defect inspection lacks the accuracy and the labor cost is high. Automating this process is challenging due to a large number of fabric types and defect types. Defect detection relies on the identification...
detection recall and accuracy of the public fabric dataset; compared with other detectors, the result of small-scale defect detection rate is reduced by at least 2.7%, and the detection process meets the real-time requirement of automatic defect detection, which verifies the effectiveness of our ...
##cite:https://github.com/open-mmlab/mmdetectionhttps://tianchi.aliyun.com/notebook-ai/detail?spm=5176.12586969.1002.150.43b46448jMnkgm&postId=74264https://tianchi.aliyun.com/notebook-ai/detail?postId=74575 简介 暂无描述 暂无标签 Python ...
Alternatively, the YANG modules for a specific FOS version can be downloaded from https://github.com/brocade/yang. 11.3 Important Notes Brocade recommends to always review Important Notes for each release. 11.3.1 4G Support on Gen 6 switches The Brocade G620 with switchType 183, G630 with ...
本研究所采用的数据集名为“Fabric defect”,其设计旨在为改进YOLOv8-seg的织物缺陷分割系统提供强有力的支持。该数据集包含15个不同的类别,涵盖了织物生产过程中可能出现的多种缺陷类型。这些类别不仅反映了织物的物理特性,还体现了在实际生产中可能遇到的各种问题,为模型的训练提供了丰富的样本。
A weakly annotated fabric defect dataset. Contains 24 512x512 images. Every image has a 512x512 mask. The mask has one rectangular bounding box covering the entire defect but has pixels of fabric without defect. This makes the defect detection task challenging. ...
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fabric defect detection;deep learning;YOLOV8;object detection 1. Introduction Fabric is lost as waste due to various defects that occur during manufacturing. This results in monetary losses for textile producers in Pakistan. Mostly, the cause of these defects is machine failure. To check whether th...