leaf-recognition

A python desktop application used to recognise species from its leaf image. Uses concepts of Image Processing and Machine Learning. It classifies the following 7 species

Acer Palmatum
Cedrus Deodara
Cercis Chinesis
Citrus Reticulata Blanco
Gingko Biloba
Liriodendron Chinense
Nerium Oleander

To run the project run Executioner.py

For further details please refer Project Details.pdf

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
Leaf Database		Leaf Database
SQLite Database		SQLite Database
Test Leaves		Test Leaves
Classifiers.py		Classifiers.py
DataPreProcessing.py		DataPreProcessing.py
Executioner.py		Executioner.py
ImageFeature.py		ImageFeature.py
ImagePreProcessing.py		ImagePreProcessing.py
KNN.png		KNN.png
MLP.png		MLP.png
Project Details.pdf		Project Details.pdf
README.md		README.md
SVM.png		SVM.png
TestingClassifiers.py		TestingClassifiers.py
knnDump.pkl		knnDump.pkl
mlpDump.pkl		mlpDump.pkl
normalValues.txt		normalValues.txt
svmDump.pkl		svmDump.pkl

yashvakil/leaf-recognition

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leaf-recognition

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