---
license: cc-by-4.0
task_categories:
- visual-question-answering
language:
- en
tags:
- VQA
- Benchamrk
- RS
- Bongard
size_categories:
- n<1K
---
# BMRS: Bongard-Maximov Problems for Remote Sensing
* **Official Dataset for BMRS:** Bongard–Maximov Problems for Remote Sensing [Preprints.org](https://www.preprints.org/manuscript/202606.1484)
* **Official Code:** [GitHub](https://github.com/iitpvisionlab/BMRS).
## Contents
This dataset includes:
### BMRS/
Bongard problems are stored as complete collages of images and separate images.
For each Bongard Problem:
- **right/** - all right images
- **left/** - all left images
- **pairs/** - image pairs
- **collage.png** - complete problem
- **left.png** - left side collage
- **right.png** - right side collage 
### /LLM-as-a-Judge
Additional data needed to run the benchmark. 
- **answer_examples_en.json** - correct and incorrect answers examples
- **judge_system_prompt_en.txt** - base prompt for the judge
- **reference_answers_en.json** - reference correct answers
- **task_type_judge_prompts_en.json** - task type specific prompts for judge
- **tasks_en.json** - task types list for each problem
## Dataset Structure
```

BMRS/
├── BMRS/
│   ├── bb_m_01/
│       ├── left/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── pairs/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── right/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── collage.png
│       ├── left.png
│       └── right.png
│   ├── ...
│   └── bb_s_59/
│       ├── left/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── pairs/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── right/
│       │   ├── im0.png
│       │   ├── ...
│       │   └── im5.png
│       ├── collage.png
│       ├── left.png
│       └── right.png
├── LLM-as-a-Judge/
│   ├── answer_examples_en.json
│   ├── judge_system_prompt_en.txt
│   ├── reference_answers_en.json
│   ├── task_type_judge_prompts_en.json
│   └── tasks_en.json
├── data/
    └── test.parquet
prompting_strategies.json
```
## Changelog
## Data Source
- AID: Xia, Gui-Song, et al. "AID: A benchmark data set for performance evaluation of aerial scene classification." _IEEE Transactions on Geoscience and Remote Sensing_ 55.7 (2017): 3965-3981.
- VisDrone: Zhu, Pengfei, et al. "Detection and tracking meet drones challenge." _IEEE transactions on pattern analysis and machine intelligence_ 44.11 (2021): 7380-7399.
- DOTA: Ding, Jian, et al. "Object detection in aerial images: A large-scale benchmark and challenges." _IEEE transactions on pattern analysis and machine intelligence_ 44.11 (2021): 7778-7796.
- MLRSNet: Qi, Xiaoman, et al. "MLRSNet: A multi-label high spatial resolution remote sensing dataset for semantic scene understanding." _ISPRS Journal of Photogrammetry and Remote Sensing_ 169 (2020): 337-350.
- HyperHazeOff: Nikonorov, Artem, et al. "HyperHazeOff: Hyperspectral Remote Sensing Image Dehazing Benchmark." _Journal of Imaging_ 11.12 (2025): 422.
- WAID: Mou, Chao, et al. "Waid: A large-scale dataset for wildlife detection with drones." _Applied Sciences_ 13.18 (2023): 10397.
## Citation
```
@article{202606.1484,
	doi = {10.20944/preprints202606.1484.v1},
	url = {https://doi.org/10.20944/preprints202606.1484.v1},
	year = 2026,
	month = {June},
	publisher = {Preprints},
	author = {Nikita Firsov and Olga Terekhova and Nikita Odinets and Alexey Fedotov and Artem Muzyka and Anna Ukhanaeva and Anastasia Sarycheva and Sergei Gladilin and Dmitry Sidorchuk},
	title = {BMRS: Bongard–Maximov Problems for Remote Sensing},
	journal = {Preprints}
}
```
## License
This dataset is released under license: [cc-by-4.0](https://creativecommons.org/licenses/by/4.0/)