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Utilizing transfer learning to build a model that can classify 102 different flower species

github.com/flowers102

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DINOV2.ipynb		DINOV2.ipynb
Flowers102_pytorch_py.ipynb		Flowers102_pytorch_py.ipynb
README.md		README.md

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Oxford Flowers 102 Classification

Utalizing transfer learning with DinoV2 and Efficientnetb1 to classify over 102 species of flowers

This project serves as a pytorch implemented solution to the Kaggle competetion "Petals to the Metal - Flower Classification on TPU" as well as an individual passion project

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Utilizing transfer learning to build a model that can classify 102 different flower species

github.com/Flowers102

machine-learning pytorch transfer-learning flowers-classification flowers102

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