---
dataset_info:
  features:
  - name: image
    dtype: image
  - name: metadata
    dtype: string
  splits:
  - name: train
    num_bytes: 6174743543.802
    num_examples: 1142
  download_size: 6408762030
  dataset_size: 6174743543.802
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
---


# GeoBench (GeoVista Bench)

GeoVistaBench is a collection of real-world panoramas with rich metadata for evaluating geolocation models. Each sample is a single image uniquely identified by a uid and includes both the original high-resolution panorama and a lightweight preview for fast inspection.

For the latest previewable version, please visit: https://huggingface.co/datasets/LibraTree/GeoVistaBench

## Related Resources

	•	GeoVista-Bench (previewable variant):
A companion dataset with resized JPEG previews intended to make image preview easier in the Hugging Face dataset viewer:
https://huggingface.co/datasets/LibraTree/GeoVistaBench
(Same underlying benchmark; different packaging / image formats.)

	•	Paper page on Hugging Face:
https://huggingface.co/papers/2511.15705


## Citation
```
@misc{wang2025geovistawebaugmentedagenticvisual,
      title        = {GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization},
      author       = {Yikun Wang and Zuyan Liu and Ziyi Wang and Pengfei Liu and Han Hu and Yongming Rao},
      year         = {2025},
      eprint       = {2511.15705},
      archivePrefix= {arXiv},
      primaryClass = {cs.CV},
      url          = {https://arxiv.org/abs/2511.15705},
}
```