Open harshmishra19 opened 1 month ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! π
Please share the dataset and your approach for solving this issue. @harshmishra19
yea here's the breakdown
Image Used
and here is the result image during processing
And here is the report Generated
What are the deep learning techniques you are planning to implement here?
Currently I am using Pytesseract which is a Python wrapper for Google's Tesseract-OCR Engine, which is an optical character recognition (OCR) tool used to extract text from images. But I can opt for Convolutional Neural Networks (CNNs) EAST (Efficient and Accurate Scene Text Detector): This model can detect text in natural scenes.
Currently I am using Pytesseract which is a Python wrapper for Google's Tesseract-OCR Engine, which is an optical character recognition (OCR) tool used to extract text from images. But I can opt for Convolutional Neural Networks (CNNs) EAST (Efficient and Accurate Scene Text Detector): This model can detect text in natural scenes.
Implement all the above mentioned models for this dataset and find out the best fitted one based on the accuracy scores of the implemented models/methods.
Assigned @harshmishra19
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Separating text from image : :red_circle:Aim of the project is to provide users with a code that can help them take out text from images and automatically get an report generated on that image : :red_circle: Dataset : :red_circle: Using some libraries like pytesseract : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.
π Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.:red_circle::yellow_circle: Points to Note :
:white_check_mark: To be Mentioned while taking the issue :
Happy Contributing π
All the best. Enjoy your open source journey ahead. π