Datasets:
image
imagewidth (px) 224
224
| lf_label
stringclasses 16
values | hf_label
stringclasses 16
values |
---|---|---|
airplane | airplane |
|
airplane | airplane |
|
airplane | airplane |
|
airplane | airplane |
|
airplane | airplane |
|
airplane | bear |
|
airplane | bear |
|
airplane | bear |
|
airplane | bear |
|
airplane | bear |
|
airplane | bicycle |
|
airplane | bicycle |
|
airplane | bicycle |
|
airplane | bicycle |
|
airplane | bicycle |
|
airplane | bird |
|
airplane | bird |
|
airplane | bird |
|
airplane | bird |
|
airplane | bird |
|
airplane | boat |
|
airplane | boat |
|
airplane | boat |
|
airplane | boat |
|
airplane | boat |
|
airplane | bottle |
|
airplane | bottle |
|
airplane | bottle |
|
airplane | bottle |
|
airplane | bottle |
|
airplane | car |
|
airplane | car |
|
airplane | car |
|
airplane | car |
|
airplane | car |
|
airplane | cat |
|
airplane | cat |
|
airplane | cat |
|
airplane | cat |
|
airplane | cat |
|
airplane | chair |
|
airplane | chair |
|
airplane | chair |
|
airplane | chair |
|
airplane | chair |
|
airplane | clock |
|
airplane | clock |
|
airplane | clock |
|
airplane | clock |
|
airplane | clock |
|
airplane | dog |
|
airplane | dog |
|
airplane | dog |
|
airplane | dog |
|
airplane | dog |
|
airplane | elephant |
|
airplane | elephant |
|
airplane | elephant |
|
airplane | elephant |
|
airplane | elephant |
|
airplane | keyboard |
|
airplane | keyboard |
|
airplane | keyboard |
|
airplane | keyboard |
|
airplane | keyboard |
|
airplane | knife |
|
airplane | knife |
|
airplane | knife |
|
airplane | knife |
|
airplane | knife |
|
airplane | oven |
|
airplane | oven |
|
airplane | oven |
|
airplane | oven |
|
airplane | oven |
|
airplane | truck |
|
airplane | truck |
|
airplane | truck |
|
airplane | truck |
|
airplane | truck |
|
bear | airplane |
|
bear | airplane |
|
bear | airplane |
|
bear | airplane |
|
bear | airplane |
|
bear | bear |
|
bear | bear |
|
bear | bear |
|
bear | bear |
|
bear | bear |
|
bear | bicycle |
|
bear | bicycle |
|
bear | bicycle |
|
bear | bicycle |
|
bear | bicycle |
|
bear | bird |
|
bear | bird |
|
bear | bird |
|
bear | bird |
|
bear | bird |
End of preview. Expand
in Data Studio
This dataset contains images of natural objects with low- and high-frequency cue conflicts, as described in the paper Can We Talk Models Into Seeing the World Differently?.
The dataset consists of 1200 images where the low-frequency and high-frequency information correlate with different classes (out of 16 classes). This dataset can be used to evaluate the frequency-bias of vision models.
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