GeoBench / README.md
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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-*
task_categories:
  - image-text-to-text

GeoBench Dataset for GeoVista

The GeoBench dataset is a benchmark introduced in the paper GeoVista: Web-Augmented Agentic Visual Reasoning for Geolocalization.

GeoBench is curated to rigorously evaluate the geolocalization ability of agentic models. It comprises photos and panoramas from around the world, as well as a subset of satellite images of different cities. This dataset addresses the demand for high-resolution imagery and the complexities of localization for advanced agentic reasoning, necessitating nuanced visual grounding and web search to validate hypotheses during the reasoning process.