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I have been on the beta program for this and generally the results in our testing have been very good. I particularly like how granular the data can get.

• komali2 10y ago
  What do you guys plan to do with it? Another poster mentioned how it seems hard to imagine a business that has a model around "finding the sailboats in this batch of pics."
  • timc3 10y ago
    We build systems that let our customer manage their video, and usually in large quantities. Some of this video spans a very long period of time and the only description that they have of it is in the filename. Getting proper structured metadata from content has traditionally been expensive as it has required humans, sometimes trained as librarians, so providing the ability to extract some meaning from video becomes valuable. Even for systems that have trained librarians, it can still help to have the ability to have a system that highlights the general content so they can further refine it and bring it inline with a taxonomy. Google Vision API also helps because the metadata can be placed against timecode, further helping the ability to search for particular subjects within a video that might otherwise not be found easily from quickly browsing the videos. There are other use cases depending on the customers need (such as a customer making sure that certain things are not in video about to go to air), but none of it has to do with marketing.
  • ASpring 10y ago
    The business prop is easy and already hinted at by another user here. People post millions of hours of themselves in natural settings on Snapchat. If you can recognize their settings (objects, environments) and cluster/categorize users then you can target advertising even more intrusively than Google et al already do.