Scene Text Detection, Recognition & Translation

Introduction
Business Problem
Mapping to Deep Learning Problem
Data Overview
EDA(Exploratory Data Analysis)
Baseline Model
First Cut Solution
Model Explanation
Best Model
Conclusion
Future Work
References

1. Introduction

The need for computer vision in text detection and recognition from an image or video is getting very popular these days. Because the text is to reliably and effectively spread or acquire information across time and space.
This approach can be used for handwriting recognition, natural scene text detection and recognition, vehicle number detection and recognition, and many more. But multiple challenges may still be encountered when detecting and recognizing text in the scene.

2. Business Problem

StackOverflow Search Engine and Question Recommendation

1. Business/Real-world Problem

1.1 Introduction

Stack Overflow is a question and answer site for beginners as well as professional enthusiast programmers.
It features questions and answers on a wide range of topics in programming and now it is not limited to programming alone but answers questions on a wide range of the spectrum.
The website serves as a platform for users to ask and answer questions, and, through membership and active participation, to vote questions and answers up or down and edit questions and answers. The better an answer, the higher the votes it gets, which also increase a user’s reputation.

1.2 Problem statement

Given its popularity, until…

Exploratory Data Analysis on Corona Virus Dataset

What is Exploratory Data Analysis?

In statistics, exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling or hypothesis testing task. Exploratory data analysis was promoted by John Tukey to encourage statisticians to explore the data, and possibly formulate hypotheses that could lead to new data collection and experiments.