Distracted Driver Detection using DL

[achrekarom12]

Pull Request for DL-Simplified 💡

Issue Title : Distracted Driver Detection using DL

• Info about the related issue (Aim of the project) : To identify whether the driver driving the vehicle is distracted or not.
• Name: Om Achrekar
• GitHub ID: achrekarom12
• Email ID: [email protected]
• Idenitfy yourself: (Mention in which program you are contributing in. Eg. For a JWOC 2022 participant it's, JWOC Participant) SSoC '23 Participant

Closes: #321

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

1. Data collection: From the link of the dataset given above.
2. Data preprocessing: Preprocessed the images and associated them with their respective labels.
3. Model selection: Chose traditional CNN along with Image detection architecture VGG16, Xception and Inception for Image detection.
4. Comparative analysis: Compared the accuracy score of all the models.

Type of change ☑️

What sort of change have you made:

• Bug fix (non-breaking change which fixes an issue)
• 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

How Has This Been Tested? ⚙️

The evaluation metrics I used to assess the models:

• Accuracy
• Loss

Checklist: ☑️

• My code follows the guidelines of this project.
• 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]

Our team will soon review your PR. Thanks @achrekarom12 :)

[abhisheks008]

Your PR is approved and ready to be merged.
@achrekarom12