I was using the new search interface that Eric mentioned above and I was able to find a few exterior corner lamps indeed. So I'm wondering if you tried it and if you have any feedback:
https://commons.wikimedia.org/wiki/Special:MediaSearch?type=bitmap&q=exterior+lantern+Corner On Tue, Nov 17, 2020 at 12:47 PM Lars Aronsson <[email protected]> wrote: > On 2020-11-16 17:08, Roy Smith wrote: > > Perhaps not exactly what was asked, but Google Images has the ability. > > Go to images.google.com <http://images.google.com>, click the camera > > icon, and then you can paste a URL for the image. > > > This is perhaps the best suggestion so far. But it is limited. > > Here I can input images from e-retail websites, > screenshots from Google Streetview, or just any > copyrighted photos and find similar photos. > If I add site:wikimedia.org to that search, I will find > free images on Wikimedia Commons. Good! > > But the search is not so very useful. If I submit a > photo where much of the building is visible, I get > images of buildings in general, with or without lamps. > If I submit a photo where much blue sky background > is visible, I get light-blue images in general, with > or without buildings or lamps. There is a rough > visual similarity to the images, but not on a detailed > level and not by semantic content. > > The search does not allow me, as I would wish, to refine > the search by indicating which images are better or > worse for my search. > > It would be interesting to know what kind of data model > is behind the similarity function. My guess is that it > needs to be 100 to 1000 times larger. > > Both in OCR (optical character recognition) and in > image similarity search, we now have so much data > that we should be able to organize a huge databank > of recognition data based on crowdsourcing. We'd > need some game, where millions of users answer > 1. What does this image depict? > 2. How well does this image depict XYZ? > > > > -- > Lars Aronsson ([email protected]) > Linköping, Sweden > > > > _______________________________________________ > Wikitech-l mailing list > [email protected] > https://lists.wikimedia.org/mailman/listinfo/wikitech-l >
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