sayan-sam / surface_crack_detection

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

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

Dataset Visualization

Model Architecture

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

Training Graphs

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