[Project Addition] Tomato-Leaf Classification using DL

[Arihant-Bhandari]

Pull Request for DL-Simplified 💡

Issue Title : #691 [Project Addition] Tomato-Leaf Classification using DL

• Info about the related issue (Aim of the project) : Classifying images of tomato leaves based on type of and level of illness using multi-class classification.
• Name: Arihant Bhandari
• GitHub ID: https://github.com/Arihant-Bhandari
• Email ID: [email protected]
• Idenitfy yourself: GSSoC 2024 Contributor

Closes: #691 [Project Addition] Tomato-Leaf Classification using DL

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

Wrote code for preprocessing and loading images from train and val folders, created models including custom as well as pre-trained models, like ResNet-50, VGG16 and so on.

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? ⚙️

Models	Accuracy	Loss
ResNet-50	10.00%	14.5063
InceptionV3	84.30%	0.5310
CNN	98.00%	0.0657
VGG16	92.70%	0.2489
EfficientNetB7	10.00%	2.3026
DenseNet-121	93.60%	0.1880
Xception	88.90%	0.3858

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 @Arihant-Bhandari :)

[Arihant-Bhandari]

hi @abhisheks008 my work on this is complete, please review this PR, if there are any additions or errors to be fixed, i will be glad to do them, thank you for your time and patience.

[abhisheks008]

Approved @Arihant-Bhandari