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.
| Author / organization | kjanjua26 |
|---|---|
| License (as declared) | mit |
| Downloads | 396 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 7 April 2026 |
| Last updated at source | 15 April 2026 |
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- Panoptic Pairwise Distortion GraphPaper · cites
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- 17 Oct 2026 Description: 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 → 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
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