AirBus Ship Detection

[tanuj437]

Pull Request for ML-Crate 💡

Issue Title: AirBus Ship Detection

• Info about the related issue (Aim of the project) : To Detect whether there is ship present or not in the given image
• Name: Tanuj Saxena
• Email ID for further communication: tanuj.saxena.rks@gmail.com
• GitHub ID: https://github.com/tanuj437
• Idenitfy yourself: SSOC'24 Contributor

Closes: #335 number that will be closed through this PR

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

So, Firstly for EDA purpose have make the mask images of the ship so that the model can easy learn about the ship location and can detect. Then try implementing Unet Model with give the accuracy 98.5% other then this tried CNN which wasn't successful much so fitted with ResNet Segmentation model which too gives 98.2% accuracy.
App.py used Unet model for detection

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? ⚙️

Describe how it has been tested
Describe how have you verified the changes made

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 @tanuj437 :)

[abhisheks008]

Looks good to me. Approved @tanuj437