---
task_categories:
- image-classification
- image-to-text
---
# Dataset Card for MP16-Pro Dataset

This dataset contains 4,654,532 geo-tagged images sourced from Flickr. As time has passed, some image links have become invalid, and the number of images currently available is approximately 4.12 million. This version of dataset is compiled in January 2024.

## Dataset Details

### Dataset Sources

<!-- Provide the basic links for the dataset. -->

- **Repository:** [https://github.com/Applied-Machine-Learning-Lab/G3](https://github.com/Applied-Machine-Learning-Lab/G3)
- **Paper:** [G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models](https://arxiv.org/abs/2405.14702)
- **Meta Data:** [GeoEstimation](https://github.com/TIBHannover/GeoEstimation)
  - url data: metadata/mp16-urls.csv
  - meta data: metadata/MP16_Pro_places365.csv
  - filtered meta data: metadata/MP16_Pro_filtered.csv (invalid images are filtered out)

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

```bash
cat mp-16-images* > mp-16-images.tar
```

## Dataset Creation

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->
* [mp16-urls](https://github.com/TIBHannover/GeoEstimation/releases/download/v1.0/mp16_urls.csv)
* [mp16-places365](https://github.com/TIBHannover/GeoEstimation/releases/download/v1.0/mp16_places365.csv)

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

Images are downloaded based on [mp16-urls](https://github.com/TIBHannover/GeoEstimation/releases/download/v1.0/mp16_urls.csv). **The `/` in all image names has been replaced with `_`.**

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

[Flickr](https://www.flickr.com/)

### Annotations

<!-- If the dataset contains annotations which are not part of the initial data collection, use this section to describe them. -->

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

Please adhere to the requirements of the MP16 dataset and use it solely for academic research purposes.

## Citation

<!-- If there is a paper or blog post introducing the dataset, the APA and Bibtex information for that should go in this section. -->

**BibTeX:**

```
@article{jia2024g3,
  title={G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models},
  author={Jia, Pengyue and Liu, Yiding and Li, Xiaopeng and Zhao, Xiangyu and Wang, Yuhao and Du, Yantong and Han, Xiao and Wei, Xuetao and Wang, Shuaiqiang and Yin, Dawei},
  journal={arXiv preprint arXiv:2405.14702},
  year={2024}
}
```