<html><head><meta http-equiv="Content-Type" content="text/html; charset=utf-8"></head><body style="word-wrap: break-word; -webkit-nbsp-mode: space; line-break: after-white-space;" class=""><blockquote type="cite" class=""><div dir="ltr" class=""><div dir="ltr" class=""><div class="">I almost never found a photo of something I was looking for with OsmAnd's "close by Mapillary photos"</div></div></div></blockquote><div class=""><br class=""></div>I agree<div class="">I realise this thread was initially about buildings but when I’m using OsmAnd to find, for example, a public transport ticket machine at an airport, I want to see a photo of the machine so I know what I’m looking for not a frame of someone driving around a carpark. I’ve started using wikimedia_commons tag but OsmAnd doesn’t appear to support it. I submitted a bug report/feature request<br class=""><div><br class=""><blockquote type="cite" class=""><div class="">On 4 Jun 2020, at 16:23, Janko Mihelić <<a href="mailto:janjko@gmail.com" class="">janjko@gmail.com</a>> wrote:</div><br class="Apple-interchange-newline"><div class=""><div dir="ltr" class=""><div dir="ltr" class=""><blockquote class="gmail_quote" style="margin:0px 0px 0px 0.8ex;border-left:1px solid rgb(204,204,204);padding-left:1ex">
<div class="">Is it really necessary? "give image for location [lat, lon] from direction X" seems a <br class=""></div><div class="">basic functionality for service like Mapillary.</div></blockquote><div class=""><br class=""></div><div class="">I almost never found a photo of something I was looking for with OsmAnd's "close by Mapillary photos". I think Osmand only takes Mapillary photos x meters from the subject. The compass and gps inside mobile phones aren't good enough for this to work this easily. Directions of photos are often wrong. Maybe if we wait some 5-10 years for neural networks to understand the surroundings, and decide which photos show the subject.</div><div class=""><br class=""></div><div class="">And a second point is there are a lot of low quality photos, shot behind the dashboard, and others, shot specifically for that building, framing it just right, on a nice sunny day. I don't think there is going to be an algorithm that decides which photo is nicer.</div><div class=""><br class=""></div><div class="">Janko<br class=""></div></div></div>
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