Changes committed to Add Dataset to the Repository

[utsabsamadder]

Pull Request for DL-Simplified 💡

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Closes: #issue number that will be closed through this PR

Describe the add-ons or changes you've made 📃

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Type of change ☑️

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• [ ] Bug fix (non-breaking change which fixes an issue)
• [x] New feature (non-breaking change which adds functionality)
• [ ] Code style update (formatting, local variables)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] This change requires a documentation update

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Checklist: ☑️

• [ ] My code follows the guidelines of this project.
• [x] I have performed a self-review of my own code.
• [ ] I have commented my code, particularly wherever it was hard to understand.
• [ ] I have made corresponding changes to the documentation.
• [ ] My changes generate no new warnings.
• [ ] I have added things that prove my fix is effective or that my feature works.
• [ ] Any dependent changes have been merged and published in downstream modules.

[github-actions[bot]]

Our team will soon review your PR. Thanks @utsabsamadder :)

[utsabsamadder]

@abhisheks008 Could you merge this into your Repository?

[utsabsamadder]

I have added the dataset here. Now I will add the best.py file and other python files

[abhisheks008]

Hi @utsabsamadder no need to push the datapoints, this is huge in size. Instead you can create a folder as Dataset inside that create a README.md file and paste the URL/source of the dataset. This will be efficient enough.

Also, complete the whole project and then create the PR, it'll be better for me to check the codebase.

[utsabsamadder]

Okay i got it

[utsabsamadder]

I have made my Custom dataset and labeling it at the moment. YOLO does not work on vectorized Datasets.

[abhisheks008]

I have made my Custom dataset and labeling it at the moment. YOLO does not work on vectorized Datasets.

No problem. Whatever the dataset you have used if it is huge in size just create a README inside the Dataset folder and put the source of the dataset. You can also share a brief about the dataset.