GitHub - inferno73/Image-classification-using-scikit: Program that uses SVC (Support Vector Classifier) to determine whether the presented image is empty or not. Tested also with empty and dog images. Used datasets are saved in clf-data directory. Accuracy reached are 99+%. Fully coded in python using IDE Pycharm.

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Program that uses SVC (Support Vector Classifier) to determine whether the presented image is empty or not. Tested also with empty and dog images. Used datasets are saved in clf-data directory. Accuracy reached are 99+%. Fully coded in python using IDE Pycharm.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
.idea		.idea
Plots		Plots
clf-data		clf-data
README.md		README.md
main.py		main.py
requirements.txt		requirements.txt
version.py		version.py