This Project helps company to test their dataset against the ResNet and Mobile Net machine learning models to find the defects in the images. The output shows the defects with images and different classes of the same image with defects on it. The user interacts with the front end which is created with the help of HTML/CSS which makes it easier We have made use of xampp to store the user details to database. We have also used xampp to load our project in the web browser. Please download mlcomp library for running the code offline Also make sure you have the models downloaded from the website https://www.kaggle.com/lightforever/severstalmodels
ashit-chuphal/Metal-Surface-Defect-Detection-Final-Year-Project
Folders and files
| Name | Name | Last commit date | ||
|---|---|---|---|---|