Except these kinds of data driven biases can creep in from all sorts of ways.

Is there a bias in what images have labels and what don’t? Did they focus only on English labeling? Did they use a vision based model to add synthetic labels to unlabeled images, and if so did the labeling model introduce biases?

Just because the sampling is broad doesn’t mean the processes involved don’t introduce procedural bias distinct from social biases.