GitHub - Garga49/Image-Search-Engine: The fundamental need of any image retrieval model is to search and arrange the images that are in a visual semantic relationship with the query given by the user.Image search engines become indispensable tools for users who look for images from a large-scale image collection. Its key component is CBIR system.In this project we tried to estimate the distribution of the target images in the database using ONE-CLASS SVM. The user will give a query image and based on the query image we will return images from our database that are closest to the query image.

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The fundamental need of any image retrieval model is to search and arrange the images that are in a visual semantic relationship with the query given by the user.Image search engines become indispensable tools for users who look for images from a large-scale image collection. Its key component is CBIR system.In this project we tried to estimate …

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.vscode		.vscode
__pycache__		__pycache__
static		static
templates		templates
feature_extractor.py		feature_extractor.py
server.py		server.py