Map objects are items that we have detected in images and placed in a 3D space. Using computer vision, we recognize objects within the image and do a 3D reconstruction of the scene to position the objects on the map.
Once your imagery has been uploaded to Mapillary, you'll be able to extract data from the images. When retrieving map objects, you will get the type of the map object and its GPS position (latitude and longitude) in a standard geospatial format (e.g., shapefile, geojson).
There are two important notes on map objects.
- To estimate the location of the map object, the map object needs to be detected in two or more images. The positions of the images are then used to calculate the position of the map object. Keep this in mind when choosing the interval of the images you capture—more images means more data points to triangulate the position of the object more closely.
- The accuracy of the location of the map object will be influenced by the accuracy of the location of the images. This is contingent on the GPS accuracy of your phone, camera, or GPS device. If high-accuracy positioning is a requirement, you might consider professional devices with enterprise-grade GPS capabilities.