| 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} | |
| } | |
| ``` |