Failed completely for me across a half dozen tries. I wonder how cheaply you could get results via Mechanical Turk. I bet you could get much more accurate results for a very low price but with some added latency.
Language dependent/creative tasks run much higher (smaller worker pool, more brain power needed).
We've developed RTFM at CrowdFlower to handle the similar task of moderating images and providing detailed reasons for why they are flagged. It's a common problem that the computers can't solve well enough yet.
Sheeps were detected as horses, faces but not as cats or cars. This seems to be the current state of the art for a general purpose classification. I haven't seen anything better yet (unless you'd specialize in sheep detection)