This grew out of our earlier "dataset bias" work: modern training datasets still live in surprisingly narrow visual distributions.

WorldBench asks the same question on the benchmark side.

http://arxiv.org/abs/2403.08632

@liuzhuang1234 Narrow training distributions are sneaky because benchmarks usually share the same blind spots, so models look fine until the real world shows up.