CUB is a fine-grained visual recognition dataset comprising 11,788 images of 200 different bird species.
Dataset homepage: http://www.vision.caltech.edu/visipedia/CUB-200-2011.html
Paper: https://authors.library.caltech.edu/27452/1/CUB_200_2011.pdf
The bash script download_data.sh provided in this directory can be used to download the actual image data. Doing so will result in a folder named CUB_200_2011 with a subdirectory called images.
We use the original trainval and test split provided with the dataset und furthermore subdivide trainval into train and val.
| Split | Total Images | Images / Class |
|---|---|---|
| train | 4,000 | 20 |
| val | 1,994 | 9-10 |
| trainval | 5,994 | 29-30 |
| test | 5,794 | 11-30 |
We achieved the following baseline performance using a ResNet-50 trained on the trainval split and averaged over 10 runs.
| Input Size | Accuracy |
|---|---|
| 224 x 224 | 71.45% |
| 448 x 448 | 80.57% |