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>and every single one of them had buns Why would you assume that? I did a cursory GIS and Bing search, and somewhere between 1-5% of the returned images were
by Baeocystin 8y ago
>and every single one of them had buns
Why would you assume that? I did a cursory GIS and Bing search, and somewhere between 1-5% of the returned images were bunless wieners.
- gwern 8y agoHe didn't use GIS/Bing, or anything derived from them like WebVision. He used MS COCO. And if it had really returned 5% naked wieners, the results he described would be a lot less likely.
- Baeocystin 8y agohttp://cocodataset.org/#explore http://cocodataset.org/#explore Literally the first image returned for hot dogs is a bunch of bunless ones on a grill. There are plenty more.
- gwern 8y agoThen maybe he didn't train it as well as he thinks he did. For comparison, I tried out Clarifai's image classification API: https://clarifai.com/demo https://clarifai.com/demo It has no problem classifying some bunless ones on a grill (https://www.hot-dog.org/sites/default/files/2016-09/sausage%20on%20grill.jpg https://www.hot-dog.org/sites/default/files/2016-09/sausage%...) as being sausage/pork/beef/hotdog, with nary a 'sandwich' to be seen, while conversely, a Big Mac (https://d1nqx6es26drid.cloudfront.net/app/uploads/2015/04/04043402/product-big-mac.png https://d1nqx6es26drid.cloudfront.net/app/uploads/2015/04/04...) gets sesame/burger/lettuce/sandwich/bun/bread tags with no sausage/bratwurst/hotdog to be seen. Clarifai's NNs seem to do fine on 'hot dog or not hot dog'...