When you attach a tiled imagery dataset to a project, the Labelbox Editor will automatically adjust the Editor interface for labeling geospatial data.
These are the annotation types you may include in your ontology for labeling tiled imagery data. Classification-type annotations can be applied at the global level and/or nested within an object-type annotation.
Free-form text classification
Tiled imagery uses a Slippy Map tool for labeling map tiles of the earth at various zoom levels. Slippy Map is a term that refers to the modern web maps that let you zoom and pan around.
Map tiles are structured like a pyramid of zoom levels. The top-most layer is the largest in size and only includes one tile. The tiles in each subsequent layer decrease in size, but increase in number and resolution. You can use the
maxZoom parameters to specify the zoom level limits. The zoom parameter is an integer between 0 (zoomed out) and 18 (zoomed in). 18 is normally the maximum, but some tile servers may go beyond that.
In order to use our Tiled imagery tool, you must use a tile server to create your map tiles. When you import your map tiles, you can use bounds to specify the area of interest and to break up your map tiles into labeling tasks.
Tiled imagery supports the following coordinate reference systems (CRS):
A projected coordinate system measured in meters on a flattened surface. It is the projection of EPSG:4326 coordinate system onto a square for viewing on a web app. Uses the Spherical Mercator projection (AKA Web Mercator projection) to render on a web page.
A geographic coordinate system used by GPS to express locations on the earth using GeoJSON longitude and latitude. Also known as the World geodetic system (WGS84).
A basic geographic coordinate reference system that maps x to longitude and y to latitude. Also uses the Equirectangular or Plate Carrée projection to render on a web page.
Updated 2 days ago
See the JSON format for importing tiled imagery data to Labelbox.