Task4: Implement Pretrained models on Dataset

[saumyacoder1709]

Description:

This issue is an FCFS. You need to claim this issue.
It focuses on utilizing pretrained models for the Pestering-Data dataset. Participants are required to perform the following:

1. Select any pretrained model (e.g., ResNet, VGG16, EfficientNet, etc.) suitable for the dataset.
2. Implement the model using a Jupyter Notebook.
3. Ensure the notebook includes all tasks covered in previous issues.
4. Validate the results and provide visualizations or metrics to showcase the model’s performance.

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Submission Guidelines:

1. Upload your Jupyter Notebook to the main branch directly. Make a new PR.

2. Set the file permissions to Restricted Access (specific email addresses).

3. Share the notebook link with the following email IDs:

   • [[email protected]]
   • [[email protected]]

4. Attach the notebook link and any additional details (e.g., model used, accuracy achieved) in a comment in the notebook.

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Notes:

• Be creative and feel free to experiment with different pretrained models and hyperparameters.
• Make sure the notebook is self-contained, with clear explanations for all steps.
• Reach out if you have any questions or need clarifications.

[QuantTitan]

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[23abdul23]

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