chaofengc/QGround-100K
QGround-100K: A Visual Quality Grounding Dataset Overview QGround-100K is a novel dataset introduced in our paper "Q-Ground: Image Quality Grounding with Large Multi-modality Models", which received an oral presentation acceptance at ACM MM2024. The dataset is designed for visual quality grounding, a new task that involves segmenting distortion regions in images based on natural language queries. Dataset Structure Included Datasets… See the full description on the dataset page: https://huggingface.co/datasets/chaofengc/QGround-100K.
| Author / organization | chaofengc |
|---|---|
| License (as declared) | cc-by-nc-sa-4.0 |
| Downloads | 476 (as reported by Hugging Face) |
| Likes | 1 |
| Created | 25 May 2024 |
| Last updated at source | 25 October 2024 |
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Recent changes
- 16 Oct 2026 Description: QGround-100K: A Visual Quality Grounding Dataset Overview QGround-100K is a novel dataset introduced in our paper "Q-Ground: Image Quality Grounding with Large Multi-modality Models", which received an oral presentation acceptance at ACM MM → QGround-100K: A Visual Quality Grounding Dataset Overview QGround-100K is a novel dataset introduced in our paper "Q-Ground: Image Quality Grounding with Large Multi-modality Models", which received an oral presentation acceptance at ACM MM
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