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Image Recognition of Plant Species in Singapore using CNN

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.ipynb_checkpoints
.ipynb_checkpoints
 
 
__pycache__
__pycache__
 
 
images
images
 
 
ununsed_images
ununsed_images
 
 
.gitignore
.gitignore
 
 
README.md
README.md
 
 
densenet classification report.txt
densenet classification report.txt
 
 
densenet confusion matrix.png
densenet confusion matrix.png
 
 
densenet normalized confusion matrix.png
densenet normalized confusion matrix.png
 
 
inception-resnet classification report.txt
inception-resnet classification report.txt
 
 
inception-resnet confusion matrix.png
inception-resnet confusion matrix.png
 
 
inception-resnet normalized confusion matrix.png
inception-resnet normalized confusion matrix.png
 
 
mobilenet classification report.txt
mobilenet classification report.txt
 
 
mobilenet confusion matrix.png
mobilenet confusion matrix.png
 
 
mobilenet normalized confusion matrix.png
mobilenet normalized confusion matrix.png
 
 
mobilenet_weights.328.h5
mobilenet_weights.328.h5
 
 
model.py
model.py
 
 
snapnlearn.pdf
snapnlearn.pdf
 
 
test_model.ipynb
test_model.ipynb
 
 
train_model.ipynb
train_model.ipynb
 
 

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CS3244 Project

Image recognition for plant species classification

User guide

  1. Make sure you have Tensorflow installed etc.
  2. Run jupyter notebook
  3. Train model with train_model.ipynb
  4. Test model with test_model.ipynb

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Image Recognition of Plant Species in Singapore using CNN

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