---
license: other
license_name: mixed-research-only
task_categories:
  - visual-question-answering
  - image-to-text
language:
  - en
pretty_name: UltraVR
tags:
  - ultra-resolution
  - ultra-high-resolution
  - visual-reasoning
  - evidence-grounded-reasoning
  - visual-question-answering
  - vision-language-models
  - multimodal-reasoning
  - remote-sensing
  - surveillance
  - industrial-anomaly-detection
  - anomaly-detection
---

# UltraVR

UltraVR is a diagnostic ultra-resolution image VQA benchmark for evidence-grounded reasoning across remote sensing, CCTV surveillance, and industrial anomaly detection domains.

This repository is a data-only release. It provides benchmark QA annotations, selected redistributable AD images, source mapping files for non-redistributed image domains, and license notices.

**Keywords:** ultra-resolution image understanding; ultra-high-resolution visual reasoning; evidence-grounded reasoning; visual question answering; vision-language models; multimodal reasoning; remote sensing; CCTV surveillance; industrial anomaly detection.

## QA-Only Annotation Release

This trial version keeps the final question, options, answer, question type, one `image_path`, image dimensions, and license notes. No chain-of-thought is included. In JSONL records, AD `image_path` values point to local files in this repository, while RS and CCTV `image_path` values point to the original source-dataset image paths.

## Domain Summary

| Domain | Source Dataset | Image Files in This Repo | Mapping File | Notes |
|---|---|---:|---|---|
| RS | DOTA-v1.5 | No | `data/images/rs/mapping.csv` | Raw DOTA images are not redistributed. |
| CCTV | PANDA | No | `data/images/cctv/mapping.csv` | PANDA is treated as high-resolution still images/screenshots. |
| AD | MVTec LOCO AD | Yes | Not required | User-provided constructed AD images are included. |

## Source Datasets

- RS: DOTA-v1.5, https://captain-whu.github.io/DOTA/dataset.html
- CCTV: PANDA, https://gigavision.cn/data/news?nav=DataSet%20Panda&type=nav&t=1781477597958
- AD: MVTec LOCO AD, https://www.mvtec.com/research-teaching/datasets/mvtec-loco-ad

## Repository Structure

```text
UltraVR/
├── README.md
├── LICENSE
├── NOTICE
├── RELEASE_POLICY.md
├── DATA_SCHEMA.md
├── data/
│   ├── annotations/
│   │   ├── ultravr_rs.jsonl
│   │   ├── ultravr_cctv.jsonl
│   │   ├── ultravr_ad.jsonl
│   │   └── ultravr_all.jsonl
│   └── images/
│       ├── rs/
│       │   ├── README.md
│       │   └── mapping.csv
│       ├── cctv/
│       │   ├── README.md
│       │   └── mapping.csv
│       └── ad/
│           ├── README.md
│           └── <AD image files>
└── examples/
    ├── sample_rs.jsonl
    ├── sample_cctv.jsonl
    └── sample_ad.jsonl
```

## Annotation Files

All annotations are JSONL files. Each line is one QA sample. `data/annotations/ultravr_all.jsonl` concatenates RS, CCTV, and AD annotations in that order.

- `data/annotations/ultravr_rs.jsonl`: 120 QA samples
- `data/annotations/ultravr_cctv.jsonl`: 120 QA samples
- `data/annotations/ultravr_ad.jsonl`: 140 QA samples
- `data/annotations/ultravr_all.jsonl`: 380 QA samples

## License

UltraVR follows a mixed research-only licensing policy. Users must follow the original license and usage terms of each source dataset. See `LICENSE`, `NOTICE`, and `RELEASE_POLICY.md` for details.

## Citation

If you use UltraVR in your research, please cite our paper:

**UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoning**  
Gexin Huang, Yanting Yang, Myeongkyun Kang, Beidi Zhao, Jun Zhou, Chen Zhou, Gang Wang, Zu-hua Gao, and Xiaoxiao Li.  
arXiv:2606.05576, 2026.

```bibtex
@misc{huang2026ultravr,
  title         = {UltraVR: A Diagnostic Ultra-Resolution Image-VQA Benchmark for Evidence-Grounded Reasoning},
  author        = {Huang, Gexin and Yang, Yanting and Kang, Myeongkyun and Zhao, Beidi and Zhou, Jun and Zhou, Chen and Wang, Gang and Gao, Zu-hua and Li, Xiaoxiao},
  year          = {2026},
  eprint        = {2606.05576},
  archivePrefix = {arXiv},
  primaryClass  = {cs.CV},
  doi           = {10.48550/arXiv.2606.05576},
  url           = {https://arxiv.org/abs/2606.05576}
}
```

Please also cite the original source datasets used by the corresponding UltraVR domains, including DOTA-v1.5, PANDA, and MVTec LOCO AD, when applicable.