4 ms·
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 resul
by forrestthewoods 14y ago
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.
- aantix 14y agoOne to two cents a task. Anytime you have a language agnostic task (identifying/classifying objects, etc), the tasks can be done very cheaply. Just make sure you do triplicate validation. Language dependent/creative tasks run much higher (smaller worker pool, more brain power needed).
- benmccann 14y agoI've never used mechanical turk before and don't understand what you mean by language agnostic. I'd want someone to tell me that it's a "car" and not a 汽車. And I'd want to give the instructions for the task in English.
- mrgordon 14y agoI agree, crowdsourcing is the way to go if you need to understand images. Image recognition is a very tough problem, especially if you're trying to detect anything nuanced. 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.
- r3m6 14y agohttp://www.acstede-test.co.uk/blackhill/images/stories/Lleyn_Sheep/Lleyn_sheep_350.jpg http://www.acstede-test.co.uk/blackhill/images/stories/Lleyn... 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)