[Project Addition] Tomato-Leaf Classification using DL

[Arihant-Bhandari]

Deep Learning Simplified Repository (Proposing new issue)

🔴 Project Title : Tomato-Leaf Classification using DL

🔴 Aim : Classifying images of tomato leaves based on type of and level of illness using multi-class classification.

🔴 Dataset : https://www.kaggle.com/datasets/kaustubhb999/tomatoleaf

🔴 Approach : Creating custom CNN model as well as 5 pre-trained models for multi-class classification task.

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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 : Arihant Bhandari
• GitHub Profile Link : https://github.com/Arihant-Bhandari
• Email ID : [email protected]
• Participant ID (if applicable): Arihant Bhandari (eternal_insight)
• Approach for this Project : using pretrained and custom cnn models for classification (pre-trained: resent50, vgg16, inception, xception)
• What is your participant role? (Mention the Open Source program)
  GSSoC 2024 Contributor

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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! 😊

[Arihant-Bhandari]

hi @abhisheks008 this is the next issue i was hoping to work on.

[abhisheks008]

Assigned @Arihant-Bhandari

[github-actions]

Hello @Arihant-Bhandari! Your issue #691 has been closed. Thank you for your contribution!

[Arihant-Bhandari]

Hi @abhisheks008 I had a project idea I wanted to discuss with you before creating an issue for it.

I had worked previously on a NVIDIA stock prediction model, and for that I had used RNNs for both open and close.

If I were to say create ANNs for this task , such that there are 4 models as part of submission , will it be cosidered ?