This project aims to classify fabric defects into categories such as "holes," "horizontal," and "vertical" using a Convolutional Neural Network (CNN). The CNN model is trained to identify and categorize defects in fabric images, providing a reliable solution for quality control in the textile industry.
-
Notifications
You must be signed in to change notification settings - Fork 0
The project leverages a Convolutional Neural Network (CNN) to smartly classify fabric defects like "holes," "horizontal," and "vertical" patterns. By training the model on fabric images, it delivers an efficient and reliable quality control solution, revolutionizing defect detection in the textile industry.
License
Prahmodh-Raj1/Fabric-Defect-Classification_CNN
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
The project leverages a Convolutional Neural Network (CNN) to smartly classify fabric defects like "holes," "horizontal," and "vertical" patterns. By training the model on fabric images, it delivers an efficient and reliable quality control solution, revolutionizing defect detection in the textile industry.
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published