UppuluriKalyani / ML-Nexus

ML Nexus is an open-source collection of machine learning projects, covering topics like neural networks, computer vision, and NLP. Whether you're a beginner or expert, contribute, collaborate, and grow together in the world of AI. Join us to shape the future of machine learning!
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End-to-end Multil-class Dog Breed Classification #71

Open Pranshu-jais opened 4 days ago

Pranshu-jais commented 4 days ago

🔴 Dataset : https://www.kaggle.com/c/dog-breed-identification/data

🔴 Approach : Building and training Multil-class Dog Breed Classification deeplearning model to classify breed breed of a dog

please assign this issue to me under gssoc - ext 2024 with appropriate level

github-actions[bot] commented 4 days ago

Thank you for creating this issue! 🎉 We'll look into it as soon as possible. In the meantime, please make sure to provide all the necessary details and context. Your contributions are highly appreciated! 😊

SaiNivedh26 commented 4 days ago

@Pranshu-jais Start working !

Provide a pipeline of the work which you're gonna do and upload the necessary files. if it's verified, it'll be merged with main branch

Pranshu-jais commented 2 days ago

@Pranshu-jais Start working !

Provide a pipeline of the work which you're gonna do and upload the necessary files. if it's verified, it'll be merged with main branch

The goal of this project is to create a convolutional neural network (CNN) that can classify images of dogs into their respective breeds. It leverages convolutional neural network (CNN) architectures, including mobilenet_v2 as the base and fine-tuning it on the dog breed dataset. The model architecture includes several convolutional layers followed by fully connected layers.