Dog breed classification

[IkkiOcean]

Closes: #88

• Info about the related issue (Aim of the project) : Dog Breeds Classification using deep learning
• What I have done:
  • Data Preprocessing: Images were resized, normalized, and split into training, validation, and testing sets.
  • Model Selection: Three different deep learning architectures (MobileNetV2, Vgg19, and ResNet50V2) were trained.
  • Evaluation Metrics: The models were evaluated based on their classification accuracy on the validation and test sets.

MODELS USED AND THEIR ACCURACIES

Model	Accuracy
MobileNetV2	96.28%
Vgg19	91.85%
ResNet50V2	96.28%

• Name: Vivek Prakash
• GitHub ID: https://github.com/IkkiOcean
• Email ID: [email protected]
• • **Program: ** GSSOC-extd and hacktoberfest

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