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---
---
language:
- en
task_categories:
- visual-question-answering
- image-classification
task_ids:
- visual-question-answering
license: cc-by-4.0
---
# Building Defect VQA Dataset
## Dataset Description
This dataset is a **Visual Question Answering (VQA)** version of the original **BD3 (Building Defect Dataset)**.
It is designed for training and evaluating **Vision–Language Models (VLMs)** on building defect recognition tasks.
Each image is paired with a fixed question and a defect category as the answer.
---
## Dataset Structure
Each sample contains:
- **image**: RGB image of a building surface
- **question**:
> *"What type of building defect is visible in the image?"*
- **answer**: One of the following defect classes:
- `algae`
- `major_crack`
- `minor_crack`
- `peeling`
- `plain`
- `spalling`
- `stain`
---
## Intended Use
This dataset is suitable for:
- Visual Question Answering (VQA)
- Vision–Language Model fine-tuning
- Prompt-based image classification
- Zero-shot / few-shot VLM evaluation
Compatible with models such as:
- LLaVA
- SmolVLM
- Pixtral
- Qwen-VL
- BLIP-style models
---
## Source Dataset & Credits
This dataset is **derived from the original BD3 (Building Defect Dataset)**.
### Original Dataset
- **Name**: BD3 – Building Defect Dataset
- **Authors**: *{Kottari, Praveen and Arjunan, Pandarasamy}*
- **Original Source**: *[https://github.com/Praveenkottari/BD3-Dataset]*
### Credit Statement
> This VQA dataset is a **reformatted version** of the original BD3 dataset.
> All image rights and original credit belong to the original authors.
> This version only changes the data format to support VQA-style learning.
If you use this dataset, **please cite the original BD3 dataset and paper**.
---
## License
This dataset follows the **same license as the original BD3 dataset**.
Please check the original source before using it for commercial purposes.
---
## Citation
If you use this dataset, please cite:
```bibtex
@dataset{bd3_building_defect,
title = {BD3: Building Defect Dataset},
author = {Kottari, Praveen and Arjunan, Pandarasamy},
year = {2024},
url = {https://github.com/Praveenkottari/BD3-Dataset)}
}
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