Dog Breed Classification

[Pranshu-jais]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Dog Breed Classification

🔴 Aim : End-to-end Multil-class Dog Breed Classification

🔴 Dataset : https://www.kaggle.com/c/dog-breed-identification/data

🔴 Approach : Building and training Multil-class Dog Breed Classification deeplearning model to classify breed breed of a dog l

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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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🔴🟡 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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✅ To be Mentioned while taking the issue :

• Full name : Pranshu Jaiswal
• GitHub Profile Link : https://github.com/Pranshu-jais
• Email ID :[email protected]
• Participant ID (if applicable):Pranshu | Contributor. Discord ID: anurag342
• Approach for this Project :As mentioned above
• What is your participant role? GSSoC 2024

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Happy Contributing 🚀

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

[github-actions]

Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊

[Pratzybha]

Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Dog Breed Classification

🔴 Aim : End-to-end Multil-class Dog Breed Classification

🔴 Dataset : https://www.kaggle.com/c/dog-breed-identification/data

🔴 Approach :
Baseline Model: Start with a simple CNN architecture to establish a baseline.
Transfer Learning: Fine-tune VGG16, ResNet50, or InceptionV3 pre-trained models using the dog breed data.

📍 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.
🔴🟡 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.
✅ To be Mentioned while taking the issue :

Full name : Pratibha Balgi
GitHub Profile Link : https://github.com/Pratzybha
Email ID :[email protected]
Participant ID (if applicable):PratibhaBalgi | Contributor
Approach for this Project :As mentioned above
What is your participant role? GSSoC 2024 - ext

[abhisheks008]

Closing this issue as a similar kind of problem statement is already present here in this repository.