metadata
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},
}