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💡[Feature]: Add "Image classification to identify humans or horses using CNN" project #1540

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avogadroB opened this issue Oct 23, 2024 · 3 comments
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enhancement New feature or request

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@avogadroB
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Is there an existing issue for this?

  • I have searched the existing issues

Feature Description

A project based on python to recognize whether an image is a human or a horse using CNN with an accuracy of 97.66%

Use Case

Classifying images based on images and corresponding labels from the input file, we employed a Multi-label Convolutional Neural Network (CNN) classification algorithm. Using CNNs for it’s ability to automatically learn hierarchical features directly from raw pixel data, enabling accurate classification of constellations based on subtle visual cues.

Benefits

This is a starter project for understanding how convolution neural networks work. Would help the community in understanding the basics of computer vision.

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Priority

High

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  • I have read the Contributing Guidelines
  • I'm a GSSOC'24 contributor
  • I want to work on this issue
@avogadroB avogadroB added the enhancement New feature or request label Oct 23, 2024
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Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. If you have any questions reach out to LinkedIn. Your contributions are highly appreciated! 😊

Note: I Maintain the repo issue twice a day, or ideally 1 day, If your issue goes stale for more than one day you can tag and comment on this same issue.

You can also check our CONTRIBUTING.md for guidelines on contributing to this project.
We are here to help you on this journey of opensource, any help feel free to tag me or book an appointment.

@sanjay-kv
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check the pinned issue

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Hello @avogadroB! Your issue #1540 has been closed. Thank you for your contribution!

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