| # GeoVistaBench | |
| **GeoVistaBench is the first benchmark to evaluate agentic models’ general geolocalization ability.** | |
| GeoVistaBench is a collection of real-world photos with rich metadata for evaluating geolocation models. Each sample corresponds to one picture identified by its `uid` and includes both the original high-resolution imagery and a lightweight preview for rapid inspection. | |
| ## Dataset Structure | |
| - `id`: unique identifier. | |
| - `raw_image_path`: relative path (within this repo) to the source picture under `raw_image/<uid>/`. | |
| - `preview`: compressed JPEG preview (<=1M pixels) under `preview_image/<uid>/`. This is used by HF Dataset Viewer. | |
| - `metadata`: downstream users can parse it to obtain lat/lng, city names, multi-level location tags, and related information. | |
| - `data_type`: string describing the imagery type. | |
| All samples are stored in a Hugging Face-compatible parquet file. | |
| ## Working with GeoBench | |
| 1. Clone/download this folder (or pull it via `huggingface_hub`). | |
| 2. Load the parquet file using Python: | |
| ```python | |
| from datasets import load_dataset | |
| ds = load_dataset('path/to/this/folder', split='test') | |
| sample = ds[0] | |
| `` | |
| `sample["raw_image_path"]` points to the higher-quality file for inference. | |
| ## Related Resources | |
| - GeoVista Technical Report | |
| https://huggingface.co/papers/2511.15705 | |
| - 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.) | |
| ## 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}, | |
| } | |
| ``` | |