We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
🔴 Project Title : Indian Venomous Snakes Classification using DL 🔴 Aim : Classifying images into images of Venomous or Non-Venomous Snakes. 🔴 Dataset : https://www.kaggle.com/datasets/adityasharma01/snake-dataset-india 🔴 Approach : Creating custom CNN model as well as 5 pre-trained models for binary classification task.
requirements.txt
Model
README.md
🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered:
Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊
Sorry, something went wrong.
sorry @abhisheks008 for this, i will redo things and follow procedures as required.
Successfully merging a pull request may close this issue.
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title : Indian Venomous Snakes Classification using DL
🔴 Aim : Classifying images into images of Venomous or Non-Venomous Snakes.
🔴 Dataset : https://www.kaggle.com/datasets/adityasharma01/snake-dataset-india
🔴 Approach : Creating custom CNN model as well as 5 pre-trained models for binary classification task.
📍 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.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
GSSoC 2024 Contributor
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
The text was updated successfully, but these errors were encountered: