Preparing for the new Mapillary API
Over the coming months we will be launching version 4 of our API and will be phasing out version 3. This post contains some key information for developers and how they can handle the transition.
Reflecting on 2020
2020 was a year many of us will never forget. Before 2020 gets too far behind in the rear-vision mirror, we'd like to reflect on some of the highlights for Mapillary and our community. We hope you enjoy these reflections.
Upgrading to Vistas 2.0
Today we are making available Mapillary Vistas 2.0, a major semantic annotation upgrade for our street-level image dataset of 25,000 images from around the world. We are increasing the label complexity by almost doubling the amount of semantic categories, and additionally provide an approximate depth order of objects shown in the scenes.
Introducing Smart Edits: AI-assisted map-editing for point features with JOSM and Mapillary
Today, we’re introducing a new capability in the Mapillary plugin for JOSM, which allows for adding AI-detected map features using an accelerated workflow. Objects that were detected from Mapillary street level imagery can now be added to the map with just a few clicks.
The Latest and Greatest for Mapillary in OSM iD for November 2020
Finding and navigating Mapillary images in iD Editor has been significantly improved. Chris walks through these latest improvements.
Introducing the Quality Score - Automated image quality estimation
Today we are announcing the introduction of our machine-learned Quality Score that allows you to filter images on mapillary by their quality.
Extending Object Detections to Scene Classes
Today, we are announcing the extension of machine-generated detections to scene classes. The new scene classes cover transportation infrastructure such as gas stations, toll stations, and parking lots and will help cities and community groups speed up their mapping efforts.
Updating our Street Level Image Privacy Blurring
We recently made changes to how we handle image blurring for street level images. This post provides an update and explains those changes for our Mapillary users and contributors.
Global access to map data with the Mapillary API
Anyone can now access Mapillary's map features directly via our API. Read on to see the ways you can filter and download map features programmatically.
Mapillary map features now available globally in OpenStreetMap
Map features are now available in both iD Editor and JOSM. Let us know how they fit into your mapping workflows.
Upgrading Mapillary for JOSM: Focused Editing with Filters
Boost your OpenStreetMap editing with new features in Mapillary's plugin for JOSM: more flexible filters, enhanced changeset tagging, support for organizations, and a number of UI and performance fixes.
Visualize the Future of Cities with Mapillary in ArcGIS Urban
ArcGIS Urban, Esri’s new product for smart city planning, is now featuring a Mapillary integration. Bring street-level imagery side by side with 3D models of projects for a better understanding of how cities will evolve.
Accessing Machine-Extracted Map Data: Improved Data Downloads
Downloading the map data that you’ve subscribed to is now much more flexible. You can choose the object types you wish to download, which also means your download files will get prepared faster. There are two new file types available, and notifications for when your data is ready.
The Camera That Turns Any Fleet into a Mapping Fleet: Say Hello to the Mapillary Dashcam
Mapillary is releasing the world’s first end-to-end encrypted mapping dashcam to help delivery and ride-sharing fleets access the map and navigation data they need to serve their customers. The camera is light, flexible, and while it requires no extra work from drivers, it can capture up to 150,000 high-quality images in one eight-hour session. The images and the data are available on the Mapillary platform within hours of uploading. Finally, a quick and easy way for fleets to get the map data they need to fix maps.
See Your Mapillary Milestones in the iOS App
Our newest feature in the iOS app lets you see the milestones you’ve reached as a Mapillary contributor, and the next goals that await.
More Ways to Teach the Machine to See: Spotting Missed Objects
With Verification Projects, you can do quality review of the automatic object detections that underlie Mapillary’s machine-generated map data. In addition to verifying whether detections are correct, you can now also check images for missed objects, as we release a new type of task that’s now available in all verification projects. This will help improve our algorithms even more, enabling you to scale up mapping with high-quality map data.
Scale Imagery Collection with Capture Projects: Android App Now Available
With our recently released Capture Projects, organizations like the City of Detroit have collected thousands of kilometers of fresh street-level imagery by having a team of drivers cover the area, task by task. Today we’re making Mapillary Driver, the app that drivers use for completing their tasks, available on Android. This improves access to Capture Projects as teams are now able to use a broader range of devices in the field to see what they need to map.