The Anime Blurry Preparation Dataset is a specialized binary classification dataset designed for distinguishing between clear and blurry 3D anime-style images. This dataset provides a comprehensive collection of image pairs where each clear image has a corresponding blurry counterpart, making it ideal for training and evaluating image quality assessment models. The dataset employs automatic annotation techniques using BLIP… See the full description on the dataset page: https://huggingface.co/datasets/deepghs/anime_blurry_preparation.
