kjanjua26/pandabench
PandaBench Paper | Project Page | Code PandaBench (and PandaSet) is an image distortion benchmark designed for evaluating perceptual comparison and distortion-aware visual reasoning. It introduces the task of learning a Distortion Graph (DG), representing dense degradation information such as distortion type, severity, and quality scores in a compact, interpretable graph structure grounded in image regions. PandaSet (the train/val folders) is used to train the model (Panda)… See the full description on the dataset page: https://huggingface.co/datasets/kjanjua26/pandabench.
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