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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
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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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