|Authors:||iD developers, Meta Platforms, Inc.|
|Version:||2.0.1 releases (2023-04-04)|
Fast PixiJS based renderer developed and maintained by a professional team featuring AI-generated data and authoritative open map dataset catalog for users to validate.
Rapid (formerly RapiD) is a web-based modern editor for OpenStreetMap. Rapid integrates advanced mapping tools, authoritative geospatial open data, and cutting-edge technology to empower mappers at all levels to get started quickly, making accurate and fresh edits.
Rapid is an open source project developed by Meta. It originated as RapiD, a modified and forked version of the popular OSM editing tool, iD editor, with tools to add and edit map features generated by AI predictions. While initially designed as a tool to add roads, Rapid has subsequently been used to add buildings and various open data layers such as sidewalks, address points, and trees. Rapid includes validation checks (in addition to checks within iD) to detect potential errors.
You can find the Rapid source code at the GitHub page.
How to edit with Rapid
Rapid suggests features, allowing the mapper to decide which features to add to the map. Suggested features are displayed with a magenta color to differentiate them from other map features. A mapper can select a suggested feature, then click “Use This Feature” to add it to the map. From there, it is like any other newly-digitized feature: the geometry and tags can be modified and then uploaded to OSM. Only features that are accepted by a mapper are uploaded to OSM.
Users can click the "Rapid Assist" button to see a catalog of open data, and search for various categories. These open data features can be accepted or rejected similar to the machine learning suggestions.
For more Rapid editing guidance and tips, please refer to the Rapid Self Service Training Document.
There is a JOSM plugin called "mapwithai", which includes data from Microsoft Building footprints and Facebook roads. This tool is not part of Rapid editor by name or codebase, but uses the same APIs to retrieve the machine learning generated datasets. This plugin also retrieves the open datasets that Rapid displays.
Rapid incorporates road features generated through an artificial intelligence (AI) process. This process was developed by Facebook (now called Meta) using a deep neural net model and Maxar satellite imagery to predict road features. The roads are now available for most regions of the world. This page maintains the up-to-date list of countries with AI-generated roads available. Users can submit a request for road features to be generated in a new region or have data refreshed.
AI-generated roads are supported in most countries. It checks the up-to-date OpenStreetMap data, conflates the newly generated roads against existing roads, and only generates missing roads.
More information on the legacy work from Facebook’s AI-Assisted Road Tracing can be found on the project wiki.
Building footprints from the AI-generated Microsoft Building Footprint Data are supported in most countries (see https://github.com/microsoft/GlobalMLBuildingFootprints#faq for a complete list).
Beware, these building footprints most likely will not terrace buildings properly. Please check the buildings before uploading them. Like all external sources, this dataset has quality that requires reviewing every single building before potential use: users should take care to ensure adjustments and corrections are made as needed before submitting a change set.
Building footprints and satellite base layers may not agree, and the user should refer to local knowledge about how to properly align one to the other.
Esri ArcGIS Open Data
The Esri integration of ArcGIS Open Data/ Community Maps with Rapid means that open datasets released by the governments of local areas can be added to the map using Rapid.
Users can rapidly use local authoritative information provided by governments to assist in the evaluating accuracy of the current OSM features, along with other assistive data such as reference imagery layers and other AI-generated datasets mentioned above. Then users can add, edit or supplement features with building outlines, house numbers, sidewalks, and other address information using Rapid.
Read more about the available ArcGIS datasets and Esri's process through its Community Maps program for selecting, evaluating and processing those datasets prior to making them available for assistive editing within Rapid.