Case study on Segmenting Steel Surface Defects using computer vision
Table of contents:
1.Business Problem
2.Understanding Semantic Segmentation
3.Applications of Semantic Segmentation
4.Performance Metric
5.Dataset Overview
6.Exploratory Data Analysis
7.UNET Architecture explanation
8.Results
9.Data Centric AI and Post Training EDA
10.Deployment using Streamlit Web App
11.Potential Improvements
12.Links to Github and LinkedIn
13.References
For More Information Please Feel Free To Reach Out To This Blog Post:https://medium.com/@sunwritings4/image-segmentation-using-deep-learning-9f5fb4b6180d