Closed aaradhyasinghgaur closed 4 weeks ago
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! π
Assigned @kyra-09
Hello @kyra-09! Your issue #709 has been closed. Thank you for your contribution!
Deep Learning Simplified Repository (Proposing new issue)
:red_circle: Project Title : Indian Currency Notes Classifier :red_circle: Aim : To classify indian currency for ease in conditions like poor lighting or for individuals with visual impairments :red_circle: Dataset : https://www.kaggle.com/datasets/gauravsahani/indian-currency-notes-classifier :red_circle: Approach : 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 :
Approach for this Project :
To classify diffrent current notes such as - 1)Ten Rupee Notes 2)Twenty Rupee Notes 3)Fifty Rupee Notes 4)Hundred Rupee Notes 5)Two Hundred Rupee Notes 6)Five Hundred Rupee Notes, and, 7)Two Thousand Rupee Notes. we will employ five distinct deep learning network architectures:
DenseNet121
Xception
ResNet50
InceptionV3
Rotation
Zooming
Flipping (horizontal and vertical)
Brightness adjustments
These techniques will artificially expand the dataset and help prevent overfitting.
Model Performance Comparison: I will evaluate and compare the performance of each model using the following metrics and visualizations:
Tools I'll use :- numpy , matplotlib , scikit-learn , tqdm , keras etc.
Happy Contributing π
All the best. Enjoy your open source journey ahead. π