---
task_categories:
- image-classification
---

# GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition

Original paper: [GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition](https://arxiv.org/abs/2301.02560)

Homepage: https://geodiverse-data-collection.cs.princeton.edu/
Code: https://github.com/princetonvisualai/geode_dataset
Test split obtained from the paper authors.

Bibtex:
```bibtex
@inproceedings{ramaswamy2023geode,
        author = {Vikram V. Ramaswamy and Sing Yu Lin and Dora Zhao and Aaron B. Adcock and Laurens van der Maaten
                  and Deepti Ghadiyaram and Olga Russakovsky},
        title = {GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition},
        booktitle = {NeurIPS Datasets and Benchmarks},
        year = {2023}
    }
```