Neural-IMage-Assessment - A PyTorch Implementation of Neural IMage Assessment

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This is a PyTorch implementation of the paper NIMA: Neural IMage Assessment by Hossein Talebi and Peyman Milanfar. You can learn more from this post at Google Research Blog. The model was trained on the AVA (Aesthetic Visual Analysis) dataset, which contains roughly 255,500 images. You can get it from here. I used 80% of the dataset for training, and 5,000 images for validation. Note: there may be some corrupted images in the dataset, remove them first before you start training.



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