Exciting Update: Mapilio Now Integrated with OpenStreetMap iD Editor! 🌍
Dear Mappers,
🎉🎉 We’re thrilled to share some exciting news 🚀 – Mapilio is now seamlessly integrated with OpenStreetMap’s iD Editor! Your contributions on Mapilio are now easily accessible and editable through the iD Editor, making collaborative mapping more efficient than ever.
@openstreetmap @openstreetmap@lemmy.ml @OpenStreetMapUS @OSM_Pontarlier
#osm #openstreetmap
And mapilio is what?
“Mapilio’s platform creates smart map data using street-level images.”
Is it the same as mapillary?
Based on this gif on their home page yes, they’re a Mapillary and KartaView alternative.
I wonder how one would choose which project to contribute imagery to.
Mapillary is owned by Facebook but aside from that I’d like to hear other people’s comparisons between them.
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When using both apps, they’re so similar in how images are captured and uploaded. The only other difference I see is that Mapillary has more data which is no surprise since Mapilio is newer. They both have OSM ID integration with Mapillary letting you filter it a tiny bit more. Also Mapilio has a little bit longer upload times.
So from my perspective, aside from the fact that Mapillary is owned by Facebook and Mapilio is owned by a nonprofit and plans to open source, I do not see much of a difference between the two. Based on my understanding, I’d tend towards Mapilio due to the ownership.
Is there any functionality or anything else that I’m missing between the two? They’re so similar which is why I was asking.
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@okda @Mannivu
Well, its not the same, although they have similarities in terms of processing and generating data related to mapping and location. Both platforms used for crowdsourced street-level imagery and geospatial data. However, they are distinct services with their own approaches and technologies for collecting, organizing, and analyzing this data. While they may share some common goals, they each have their own unique features and methods for achieving them. 🤟🏻😊
I think that “same” in this case was referring mostly to the goal, more than on the methods involved. I understand they are different under the bonnet, but they do the same thing.
Can you please elaborate on their different approaches to collecting, organizing, and analyzing the data as well as their “unique features and methods for achieving them”? It hasn’t been obvious to me what their differences are.