/Surface_Crack_Detection

This repository contains the model, notebook and resources for the model details

Primary LanguageJupyter Notebook

L&T EduTech Hackathon

Problem Domain: AI Solutions for Industrial and Societal Problems

PS1 -

Description - Concrete cracking is a major issue in Bridge Engineering. Detection of cracks facilitates the design, construction and maintenance of bridges effectively. Requirement Specification:

  • Use open source dataset (From the link: https://cutt.ly/PS_1_dataset)
  • Develop a suitable Deep Learning framework which can detect the crack in the image from the dataset
  • Transfer Learning based DL framework would be appreciated

Judging Metrics: Provide Precision, Recall and F1 score as Judging metrics

Cracked Wall

Dataset Visualization

DataSet DataSet

Model Architecture

VGG16(224,224,3) -> Dense(112, relu) -> Dense(52, relu) -> Output(1, sigmoid)

Training Graphs

Metrics F1Score

Metrics

Dataset Accuracy Precision Recall F1 Score
Training (3000) 100% 100% 100% 100%
Validation (800) 98.25% 97.54% 99% 98.11%
Testing (200) 100% 100% 100% 100%

Prediction over higher resolution images

Image1 Image1