In addition to OSM, I occasionally take pictures of the areas I visit to upload them on Mapillary.
There are a few reasons I enjoy contributing to Mapillary:
- it constitutes an historical archive of pictures over time, seeing how a corner changed brings up memories and documents changes. I personally lived in two cities (Milan and Berlin) that changed a lot over the years and like to document it and observe these changes over time
- in Milan it can be used to document the space used by vehicles, including the irregular one, which is a detail not present in OSM tags
- it’s suitable for machine learning. I for one have a second job as a teacher for Data Science Retreat and a few students used this data to classify the quality of bike paths. Mapillary already automatically identifies, geolocate and segment common elements like street signs and manholes
- it’s suitable (sometimes) for 3D reconstructions for artistic purposes, like games (example here, it’s not based on ad-hoc images but mapillary could reasonably be used for it too. Mapillary calculates and provides point clouds too). I think this is an area where new approaches like gaussian splatting can do a lot
- it can, of course, be used for micromapping in OSM, these images show shop names, street etymology, fences and other details not easy to spot from satellite data and hard to add on the spot using StreetComplete or similar. Images from Mapillary are accessible directly in the iD editor.
For these and other reasons I contribute to Mapillary since years, using my phone with the Mapillary app whenever I visit a new or interesting place.
Imagine then my surprise when, a few months ago, I was contacted by Meta’s Reality Lab. They saw my contributions in Milan and offered me to borrow their GoPro MAX 360 which was not used anymore by another Mapillary contributor, to contribute as I see fit.