Image Classification using Convolutional Neural Networks (CNN)

[UTSAVS26]

ML-Crate Repository (Proposing new issue)

🔴 [Project Addition]: Image Classification using Convolutional Neural Networks (CNN)

🔴 Description: Create a CNN-based model for image classification. You could use a popular dataset like CIFAR-10 or MNIST. Develop a web interface to upload images and get classification results.

🔴 Dataset Link: CIFAR-10 Dataset or MNIST Dataset

🔴 Approach:

• Implement a Convolutional Neural Network (CNN) model for image classification using a popular dataset (CIFAR-10 or MNIST).
• Use data preprocessing and augmentation techniques to enhance the model's performance.
• Compare the CNN model with at least one other image classification algorithm to highlight its effectiveness.
• Develop a web interface where users can upload images and receive classification results.
• Perform thorough exploratory data analysis (EDA) before model creation to understand the dataset's characteristics.

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📍 Follow the Guidelines to Contribute to 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 on 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 the issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before starting to contribute.

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✅ To be Mentioned while taking the issue:

• Full Name: Utsav Singhal

• GitHub Profile Link: https://github.com/UTSAVS26

• Participant ID (If not, then put NA): Contributor

• Approach for this Project:

  • Implement a CNN model for image classification using the CIFAR-10 or MNIST dataset.
  • Perform data preprocessing and augmentation.
  • Compare the CNN model with another classification algorithm.
  • Develop a web interface for image upload and classification results.
  • Conduct EDA to understand the dataset.

• What is your participant role? (Mention the Open Source Program name. Eg. HRSoC, GSSoC, GSOC etc.): SSOC

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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! 😊

[abhisheks008]

CNN projects are not for this repository. For neural network concepts Deep Learning Simplified repository is the one stop place.

Closing this issue.