Two4Two (A Synthetic Dataset For Controlled Experiments)
Introduced by Sixt et al. in Do Users Benefit From Interpretable Vision? A User Study, Baseline, And Dataset
Two4Two is a library to create synthetic image data crafted for human evaluations of interpretable ML approaches (esp. image classification). The synthetic images show two abstract animals: Peaky (arms inwards) and Stretchy (arms outwards). They are similar-looking, abstract animals, made of eight blocks. The core functionality of this library is that one can correlate different parameters with an animal type to create bias in the data.
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