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In this project, 15 different fruits categories, over 15,000 fruits was used to build a machine learning algorithm to classify fruits. It was livestreamed on youtube from beginning to end.

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Name		Name	Last commit message	Last commit date
Latest commit History 4 Commits
saved_model		saved_model
testing_images		testing_images
.gitignore		.gitignore
LICENSE		LICENSE
Pipfile		Pipfile
Pipfile.lock		Pipfile.lock
README.md		README.md
fruit.zip		fruit.zip
fruit_model.ipynb		fruit_model.ipynb
splitting_fruit.py		splitting_fruit.py

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multi-fruit-classification

This project aims to classify different fruits

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In this project, 15 different fruits categories, over 15,000 fruits was used to build a machine learning algorithm to classify fruits. It was livestreamed on youtube from beginning to end.

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