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abhisheks008 / DL-Simplified

Deep Learning Simplified is an Open-source repository, containing beginner to advance level deep learning projects for the contributors, who are willing to start their journey in Deep Learning. Devfolio URL, https://devfolio.co/projects/deep-learning-simplified-f013
https://quine.sh/repo/abhisheks008-DL-Simplified-499023976
MIT License
389 stars 334 forks source link

Dog Breed Classification #683

Closed Pranshu-jais closed 2 weeks ago

Pranshu-jais commented 5 months ago

Deep Learning Simplified Repository (Proposing new issue)

:red_circle: Project Title : Dog Breed Classification
:red_circle: Aim : End-to-end Multil-class Dog Breed Classification
:red_circle: Dataset : https://www.kaggle.com/c/dog-breed-identification/data
:red_circle: Approach : Building and training Multil-class Dog Breed Classification deeplearning model to classify breed breed of a dog l

📍 Follow the Guidelines to Contribute in the Project :

:red_circle::yellow_circle: Points to Note :

:white_check_mark: To be Mentioned while taking the issue :

Happy Contributing 🚀

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

github-actions[bot] commented 5 months ago

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

Pratzybha commented 2 weeks ago

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 :pratibhabalgi02@gmail.com Participant ID (if applicable):PratibhaBalgi | Contributor Approach for this Project :As mentioned above What is your participant role? GSSoC 2024 - ext

abhisheks008 commented 2 weeks ago

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