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In many ways yes. For images Instead of using some NLP parser and vectorization technique you vectorize the image and then do a similar lookup
by danielcampos93 7y ago
In many ways yes. For images Instead of using some NLP parser and vectorization technique you vectorize the image and then do a similar lookup
- danielcampos93 7y agoIf you want to play with the tech there is a developer kit. https://www.bingvisualsearch.com/develop https://www.bingvisualsearch.com/develop
- mv4 7y agohow effective is it at identifying mysterious objects, the way it's crowdsourced on Reddit's "/Whatisthis"? (meaning, how big is the index?)
- 13of40 7y agoLOL - that's exactly the use case I was thinking of. But wouldn't an AI have to be trained with lots of examples of the item in question to get a high quality detection? If so, it might not be able to find that one image that antique shop in Whereverston has on their web site.
- danielcampos93 7y agoI don't work on the image side but from what I understand the entire index is vectorized so its not categorizing them like a imagenet system would as much as finding a nearest neighbor that can be categorized.