Billboards Signs and Branding Classification

[abhisheks008]

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Billboards Signs and Branding Classification :red_circle: Aim : Create a DL model which will classify the bill boards, signs and the brandings from the posters around the streets. :red_circle: Dataset : https://www.kaggle.com/datasets/mekabytes/billboards-signs-and-branding :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. 😎

[abhisheks008]

Issue assigned to you @Abhinavcode13

[umairullah0905]

Hi, sir @abhisheks008 , I listed my approach down, please go through it and assign me under tag GSSOC'24

Full name : Umair Ullah GitHub Profile Link : https://github.com/umairullah0905 Email ID : [email protected] Participant ID (if applicable): Approach for this Project : data preprocessing - cleaning the dataset, resizing the image ,splitting the dataset into train test and validation set then doing augmentation of dataset for better results Algorithms - CNN architecture model such as VGG-16,ResNet,VGG-19,mobilenetv2. Model Comparison and Selection - Evaluate Performance of all models based on the metrics obtained and will Choose the model that shows the best balance between accuracy and computational efficiency What is your participant role? GSSOC'24

[abhisheks008]

Assigned @umairullah0905