isaaccorley/deep-aesthetics-pytorch
PyTorch implementation of "Photo Aesthetics Ranking Network with Attributes and Content Adaptation" by Kong et al. (ECCV 2016)
This project helps photographers, marketers, or anyone curating image collections to automatically rank photos based on their aesthetic appeal. You provide a set of images, and it outputs a score for each, indicating how aesthetically pleasing it's likely to be. This is useful for identifying the best photos without manual sorting.
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Use this if you need to quickly filter or rank a large volume of images to identify those with high aesthetic quality.
Not ideal if you require subjective aesthetic judgments based on personal taste or specific brand guidelines that deviate from general aesthetic principles.
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Jupyter Notebook
License
MIT
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Last pushed
Feb 15, 2021
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