JunlinHan/MachineMem
Code of "What Images are More Memorable to Machines?"
This is a developer tool designed to help researchers understand which images are more "memorable" to machine learning models. It takes image datasets and model configurations as input to analyze and predict how effectively different images will be retained or recognized by a machine learning system. This is primarily for computer vision researchers and AI developers who are building or evaluating image-based machine learning models.
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Use this if you are a computer vision researcher wanting to train and test a model that predicts image memorability for machine learning systems.
Not ideal if you are looking for a tool to analyze human image memorability or a ready-to-use application for image content analysis.
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Language
Python
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Last pushed
Feb 13, 2023
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