Pakistani Vehicle Number Plate Detection

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Pakistani Vehicle Number Plate Detection
:red_circle: Aim : Create a DL model which will identify the number plate of the vehicles of Pakistan.
:red_circle: Dataset : https://www.kaggle.com/datasets/ubaidp1049/pakistani-vehicle-number-plate-anpr-yolo
: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.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Email ID :
• Participant ID (if applicable):
• Approach for this Project :
• What is your participant role? (Mention the Open Source program)

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[vaidehigohilsys]

Full name: Vaidehi Gohil GitHub Profile Link: https://github.com/vaidehigohilsys Email ID: vaidehi.200111201@vcet.edu.in Approach for this Project: This project can be done by incorporating OCR in the object detection of vehicle number plate detection, OCR will be a powerful feature that can recognize and extract text from vehicle number plates, and it is widely used in Automatic Number Plate Recognition (ANPR) systems. What is your participant role? participant in SSOC Season 2

I would really like to start my open-source journey with this issue :)

[abhisheks008]

Issue assigned to you @vaidehigohilsys

[Himanshu8850]

HI @abhisheks008 , please assign this issue to me, Full name: Himanshu GitHub Profile Link: https://github.com/Himanshu8850 Email ID: 1130himanshu@gmail.com Approach for this Project: i will be doing this project using OPENCV,prebuilt models yolov8, models build on conv layers,dense layer.

What is your participant role?i am participating as a contributor in gssoc '24.

[abhisheks008]

Please complete the assigned issue, then you can work on this. As the code of conduct suggests, one issue at a time for each contributor.

[kagHarsh]

Full Name : Harsh Kag GitHub Profile Link : https://github.com/kagHarsh Email ID : harshkagh@gmail.com Approach for this Project :

• Understanding of data and preprocessing.
• Data Augmentation.
• Important libraries and Environment setup such as Tensorflow and keras.
• splitting that data for training, cross-validation and testing.
• setting hyperparameters such as learning rate, optimizer and initialization of weights.
• Apply the object detection algorithms such as Faster R-CNN, SSD, and different YOLO versions.
• using backpropagation and gradient descent algorithm to optimize the weights and minimize the loss.
• fine-tuning the hyperparameters using cross-validation data.
• At last comparing accuracy for all the models. What is your participant role? (Mention the Open Source program): GSSoc'24

[abhisheks008]

Assigned @kagHarsh