DATASETS.md

Acknowledgement: This readme file for installing datasets has been borrowed directly from TPT's official repository.

We suggest downloading all datasets to a root directory (${data_root}), and renaming the directory of each dataset as suggested in ${ID_to_DIRNAME} in ./data/datautils.py. This would allow you to evaluate multiple datasets within the same run.
If this is not feasible, you could evaluate different datasets separately, and change the ${data_root} accordingly in the bash script.

For out-of-distribution generalization, we consider 5 datasets:

• ImageNet
• ImageNet-A
• ImageNet-R
• ImageNet-V2
• ImageNet-Sketch

For cross-datasets generalization, we consider 10 datasets:

• Flower102
• DTD
• OxfordPets
• StanfordCars
• UCF101
• Caltech101
• Food101
• SUN397
• Aircraft
• EuroSAT

For cross-dataset generalization, we adopt the same train/val/test splits as CoOp. Please refer to this page, and look for download links of split_zhou_${dataset_name}.json, and put the json files under ./data/data_splits/.