Better title: Image classification models suck at identifying nouns that they've rarely seen.

Crucial context:

- They're only looking at image models -- not LLMs, etc

- Their models are tiny

- A "concept" here just means "a noun." The authors index images via these nouns.

- They didn't control for difficulty in visual representation/recognition of these exceptional infrequent, long-tail "concepts."

If I didn't know an object's label, I too would struggle to identify/draw it...