A CBIR system built on a deep convolutional autoencoder, which receives query images as input, scans large databases with numerous images, and returns similar images to the query ones.
Citing paper: https://www.researchgate.net/publication/370132424_Machinable_inspiration_using_deep_convolutional_autoencoders_and_evolutionary_algorithms_for_content-based_image_retrieval_to_support_early_stages_of_the_design_process
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A CBIR system built on a deep convolutional autoencoder, which receives query images as input, scans large databases with numerous images, and returns similar images to the query ones.
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timo-kapa/ContentBasedImageRetrieval
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A CBIR system built on a deep convolutional autoencoder, which receives query images as input, scans large databases with numerous images, and returns similar images to the query ones.
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