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Dataset · Hugging Face

Zevin2023/SEAGULL-100w

Contents Introduction Data Structure Construction Pipeline Acknowledgement Citation Introduction This is a large-scale synthetic ROI-based IQA dataset, SEAGULL-100w, for "SEAGULL: No-reference Image Quality Assessment for Regions of Interest via Vision-Language Instruction Tuning." We create distortion (Dist.) images with six different distortion types, namely blur, sharpness, exposure, contrast, colorfulness and compression. We sample… See the full description on the dataset page: https://huggingface.co/datasets/Zevin2023/SEAGULL-100w.

Author / organizationZevin2023
License (as declared)mit
Downloads135 (as reported by Hugging Face)
Likes4
Created18 November 2024
Last updated at source25 November 2024
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