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Title: Image Classification using Python and Scikit-learn – Gogul Ilango

Open Graph Title: Image Classification using Python and Scikit-learn

X Title: Image Classification using Python and Scikit-learn

Description: Learn how to use Global Feature Descriptors such as RGB Color Histograms, Hu Moments and Haralick Texture to classify Flower species using different Machine Learning classifiers available in scikit-learn.

Open Graph Description: Learn how to use Global Feature Descriptors such as RGB Color Histograms, Hu Moments and Haralick Texture to classify Flower species using different Machine Learning classifiers available in scikit-learn.

X Description: Learn how to use Global Feature Descriptors such as RGB Color Histograms, Hu Moments and Haralick Texture to classify Flower species using different Machine Learning classifiers available in scikit-learn.

Opengraph URL: https://gogulilango.com/software/image-classification-python

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Links:

homehttps://gogul09.github.io/
musichttps://www.youtube.com/gogulilangomusic
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Follow @Gogul09https://github.com/Gogul09
Forkhttps://github.com/Gogul09/image-classification-python/fork
Starhttps://github.com/Gogul09/image-classification-python
Project Ideahttps://gogul09.github.io/software/image-classification-python#project-idea
Classification Problemhttps://gogul09.github.io/software/image-classification-python#classification-problem
Feature Extractionhttps://gogul09.github.io/software/image-classification-python#feature-extraction
Global Feature Descriptorshttps://gogul09.github.io/software/image-classification-python#global-feature-descriptors
Local Feature Descriptorshttps://gogul09.github.io/software/image-classification-python#local-feature-descriptors
Combining Global Featureshttps://gogul09.github.io/software/image-classification-python#combining-global-features
FLOWERS-17 datasethttps://gogul09.github.io/software/image-classification-python#flowers-17-dataset
Global Feature Extractionhttps://gogul09.github.io/software/image-classification-python#global-feature-extraction
Organizing Datasethttps://gogul09.github.io/software/image-classification-python#organizing-dataset
Functions for global feature descriptorshttps://gogul09.github.io/software/image-classification-python#functions-for-global-feature-descriptors
Training classifiershttps://gogul09.github.io/software/image-classification-python#training-classifiers
Testing the best classifierhttps://gogul09.github.io/software/image-classification-python#testing-the-best-classifier
Improving classifier accuracyhttps://gogul09.github.io/software/image-classification-python#improving-classifier-accuracy
Referenceshttps://gogul09.github.io/software/image-classification-python#references
end of lifehttps://pythonclock.org/
herehttps://www.youtube.com/watch?v=_XHNPN1hzfk
posthttps://gogul09.github.io/software/flower-recognition-deep-learning
herehttp://www.artistic-law.com/garden-tag-beautiful-nature-day-water-park-hd-background-for-wallpapers-page-misc-desktop/colorful-garden-flowers-hd-free-wallpapers/
linkshttps://gogul09.github.io/software/image-classification-python#dataset
linkhttps://www.currentresults.com/Environment-Facts/Plants-Animals/estimate-of-worlds-total-number-of-species.php
herehttps://www.flickr.com/photos/fourseasonsgarden/4651874181
interest pointshttps://en.wikipedia.org/wiki/Interest_point_detection
Color Histogramhttps://en.wikipedia.org/wiki/Color_histogram
Hu Momentshttps://en.wikipedia.org/wiki/Image_moment
Zernike Momentshttps://en.wikipedia.org/wiki/Zernike_polynomials
Haralick Texturehttp://haralick.org/journals/TexturalFeatures.pdf
Local Binary Patternshttps://en.wikipedia.org/wiki/Local_binary_patterns
Histogram of Oriented Gradientshttps://en.wikipedia.org/wiki/Histogram_of_oriented_gradients
SIFThttps://en.wikipedia.org/wiki/Scale-invariant_feature_transform
SURFhttps://en.wikipedia.org/wiki/Speeded_up_robust_features
ORBhttps://en.wikipedia.org/wiki/Oriented_FAST_and_rotated_BRIEF
BRIEFhttp://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_feature2d/py_brief/py_brief.html
Bag of Visual Wordshttps://en.wikipedia.org/wiki/Bag-of-words_model_in_computer_vision
thishttp://www.robots.ox.ac.uk/~vgg/data/flowers/17/
organize_flowers17.pyhttps://github.com/Gogul09/image-classification-python/blob/master/organize_flowers17.py
HDF5 file formathttps://en.wikipedia.org/wiki/Hierarchical_Data_Format
OpenCVhttps://docs.opencv.org/3.2.0/d1/db7/tutorial_py_histogram_begins.html
scikit-learnhttp://scikit-learn.org/
coursehttps://www.coursera.org/learn/machine-learning
playlisthttps://www.youtube.com/playlist?list=PLea0WJq13cnCS4LLMeUuZmTxqsqlhwUoe
K-Fold Cross Validationhttps://www.youtube.com/watch?v=TIgfjmp-4BA
this linkhttps://en.wikipedia.org/wiki/Cross-validation_(statistics)
herehttps://github.com/Gogul09/image-classification-python
Convolutional Neural Networkshttps://en.wikipedia.org/wiki/Convolutional_neural_network
A Visual Vocabulary for Flower Classificationhttp://www.robots.ox.ac.uk/~vgg/publications/papers/nilsback06.pdf
Delving into the whorl of flower segmentationhttp://www.robots.ox.ac.uk/~vgg/publications/papers/nilsback07.pdf
Automated flower classification over a large number of classeshttp://www.robots.ox.ac.uk/~vgg/publications/papers/nilsback08.pdf
Fine-Grained Plant Classification Using Convolutional Neural Networks for Feature Extractionhttp://ceur-ws.org/Vol-1180/CLEF2014wn-Life-SunderhaufEt2014.pdf
Fine-tuning Deep Convolutional Networks for Plant Recognitionhttp://ceur-ws.org/Vol-1391/121-CR.pdf
Plant species classification using deep convolutional neural networkhttp://www.sciencedirect.com/science/article/pii/S1537511016301465
Plant classification using convolutional neural networkshttp://ieeexplore.ieee.org/document/7577698/
Deep-plant: Plant identification with convolutional neural networkshttp://ieeexplore.ieee.org/document/7350839/
Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classificationhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934169/
Plant Leaf Identification via A Growing Convolution Neural Network with Progressive Sample Learninghttp://vigir.missouri.edu/~gdesouza/Research/Conference_CDs/ACCV_2014/pages/PDF/825.pdf
Jupyter Notebookhttp://jupyter.readthedocs.io/en/latest/install.html
OpenCVhttp://docs.opencv.org/3.0-beta/doc/py_tutorials/py_tutorials.html
Scikit-learnhttp://scikit-learn.org/stable/
Mahotashttp://mahotas.readthedocs.io/en/latest/
NumPyhttp://www.numpy.org/
SciPyhttp://matplotlib.org/
h5Pyhttp://www.h5py.org/
LeafSnaphttp://leafsnap.com/dataset/
ImageCLEFhttp://www.imageclef.org/lifeclef/2016/plant
PlantVillagehttps://www.plantvillage.org/
FLOWERS17http://www.robots.ox.ac.uk/~vgg/data/flowers/17/
FLOWERS102http://www.robots.ox.ac.uk/~vgg/data/flowers/102/
Plant Image Analysishttp://www.plant-image-analysis.org/
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