README.md

---
license: cc-by-nc-sa-4.0
task_categories:
- object-detection
language:
- en
tags:
- hallucination-detection
- Hallucination Mitigation
- MLLMs
- MSLMs
- Multimodal and crossmodal learning
size_categories:
- 1K<n<10K
dataset_info:
  features:
  - name: image
    dtype: image
  - name: captions
    dtype: string
  splits:
  - name: train
    num_bytes: 2056662370.576
    num_examples: 1256
  download_size: 2130210948
  dataset_size: 2056662370.576
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---
# Aerial Mirage: Unmasking Hallucinations in Large Vision Language Models

This repository hosts the **AeroCaps** dataset as a Hugging Face dataset.

The lack of image-caption datasets for drone imagery poses a significant challenge for training and evaluating drone image captioning. To address this gap, we contribute the first **Aerial-view Image Captioning dataset**. This contains atleast four captions per image. AeroCaps is introduced in [WACV 2025](https://openaccess.thecvf.com/content/WACV2025/papers/Basak_Aerial_Mirage_Unmasking_Hallucinations_in_Large_Vision_Language_Models_WACV_2025_paper.pdf).

<div align="center">

<a href="https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10943891">
  <img src="https://img.shields.io/badge/WACV%202025-Paper-553C9A" />
</a>

</div>

## Dataset Structure

| Column | Type | Description |
|--------|------|-------------|
| `image` | Image | Aerial-view photograph |
| `captions` | string | Comma-separated reference captions |

## Usage

```python
from datasets import load_dataset

ds = load_dataset("NLIP-lab/AeroCaps")
sample = ds["train"][0]
print(sample["captions"])
sample["image"].show()
```

## 📜 Citation

If you use **AeroCaps** in your research, please cite:

```bibtex
@InProceedings{Debolena_WACV25,
    author    = {Basak, Debolena and Bhatt, Soham and Kanduri, Sahith and Desarkar, Maunendra Sankar},
    title     = {Aerial Mirage: Unmasking Hallucinations in Large Vision Language Models},
    booktitle = {Proceedings of the Winter Conference on Applications of Computer Vision (WACV)},
    month     = {February},
    year      = {2025},
    pages     = {5500-5508}
}
```
---

⚖️ License

The AeroCaps dataset is intended for research purposes. Please see the the HF dataset card for terms.