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Name		Name	Last commit message	Last commit date
.gitattributes		.gitattributes
CNN_Implementation.ipynb		CNN_Implementation.ipynb
Crop_Detection_usingVGG-16.ipynb		Crop_Detection_usingVGG-16.ipynb
Data_Augumentation.ipynb		Data_Augumentation.ipynb
Data_Splitting_Randomly.ipynb		Data_Splitting_Randomly.ipynb
Data_extraction.ipynb		Data_extraction.ipynb
New_Architecture.ipynb		New_Architecture.ipynb
README.md		README.md
VGG16_Cats&Dogs.ipynb		VGG16_Cats&Dogs.ipynb
VGG16_implementation_Practice.ipynb		VGG16_implementation_Practice.ipynb
demo.py		demo.py

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Crop Detection ML Project

In this project, we have made a model using VGG-16, Keras, Tensorflow, matplotlib, numpy, pandas and many other tools used for Data_Extraction from Firebase storage of a company, Data_Splitting randomly into test & train directories using python libraries, Data_Augumentation, Model training and testing using VGG-16 (CNN for images).

Following are the codes used in the project :-

Data Extraction

Data Splitting

Data Augumentation

Model Architecture