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Python Jupyter Notebook Application that detects Shell Company logo in the pictures using HOG + SVM.

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SHELL LOGO DETECTION

Algorithm: Histogram Equalization + HOG (Histogram of Oriented Gradients) + SVM (Support Vector Machine)

Dataset: 7 500 pictures of Shell Logo and 7 500 pictures of different objects

Main libraries: numpy and opencv

Includes own implementation of Canny, HOG and Histogram Equalization

SAMPLE RESULTS

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Python Jupyter Notebook Application that detects Shell Company logo in the pictures using HOG + SVM.

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