How to Use Mapillary Data in Jupyter Notebooks

Jupyter Notebook is popular among geospatial engineers and it's often used in conjunction with platforms like ArcGIS. This is how you can make the most out of Mapillary data in Jupyter Notebook.

How to use Mapillary point data in OpenStreetMap iD

Mapillary has long been integrated into OpenStreetMap editors, and we are evaluating how to increase the value of both the imagery contributed by our community as well as the data extracted from that imagery. As it stands, Mapillary’s world-renowned computer vision capabilities provide an excellent tool for fixing maps in an unusual way. Outside of Mapillary imagery, we are seeing machine learning applied toward satellite imagery and telemetry data to help map roads and buildings. The coupling of computer vision and street-level imagery, however, offers a better view of the detailed reality maps have often lacked.

Visualizing the 3D World: A Practical Approach to Polygon Triangulation on the Sphere

Mapillary uses semantic segmentation to understand the contents of each image on the platform. We visualize the segments with different colors overlaid on the image objects. This is quite the challenge when done on 360° images, which are rendered as spheres in the Mapillary viewer. Let's take a look at our approach to solve the spherical visualization problem.

How to Use Mapillary Data in OpenStreetMap

Mapillary has been processing street-level imagery with computer vision in order to extract traffic signs for several years, but in 2019 we’ve started to offer an expanded dataset. Point features such as fire hydrants, crosswalks, and manholes are also now available, with their location approximated on the map thanks to 3D reconstruction of scenes combined with segmentation of the images where these objects are recognized. To date, Mapillary has identified more than 191 million of these map features, and one of the results is GeoJSON data that can be used to enhance a map.

Building the Global Street-Level Imagery Platform: How We Test Software at Mapillary

When building a global platform for street-level imagery, there are lots of moving parts in the system that need to work together. At Mapillary, we pay a lot of attention to quality assurance and have built a testing framework that is reliable, developer-friendly, and scales as we keep developing the platform further. Here is how we do it.

Editing in Map Creator with Mapillary Imagery

Learn how you can add points of interest and road information in Map Creator with help of Mapillary imagery.

From Street Level to Peak Level: Adventure Mapping in Morocco

Can you hike in unknown wilderness and make maps at the same time? Absolutely. Here is how I did it in Morocco last summer, gathering lots of details that are useful for the explorers coming after me.

Taking the Tour: Mapillary in Esri Story Maps

Esri Story Maps are meant for telling stories with a combination of text, images, and multimedia content. They are also a great method for quickly sharing interesting Mapillary sequences, particularly if you want to thread them together into one narrative.

Editing Map Data with AI Detections

Here's a step-by-step example for using Mapillary AI detections for map editing, based on the video tutorial by Mapillary Ambassador Nuno.

Fast Traffic Sign Mapping with OpenStreetMap and Mapillary

Mapbox engineer Bryan Housel explains how to use the Mapillary layer in iD editor to speed up mapping traffic signs in OpenStreetMap.

Navigating with Images: Mapillary Plugin in OsmAnd

Street-level views are now available in the OsmAnd app via the Mapillary plugin. Use Mapillary imagery for improved navigation with OsmAnd, and OsmAnd for better planning of your Mapillary routes. Anna Soloviova from OsmAnd's community support explains how.

Adding Park Attributes to OpenStreetMap

The final part of the video tutorial by Mapillary Ambassador Nuno shows you how to add details about parks to OpenStreetMap.

Adding Road Attributes to OpenStreetMap

Here is part II of the video tutorial about editing OpenStreetMap with help of Mapillary imagery by our Ambassador Nuno. This time we take a look at road attributes.

Adding Building Attributes to OpenStreetMap

This tutorial is a write-up of the video instructions provided by Mapillary Ambassador Nuno on how to add building data to OpenStreetMap using street-level images.

Mapillary 2 Commons: A Tool for Easy Image Exporting

In this guest post, Albin Larsson introduces the Mapillary 2 Commons tool that he has built for easy exporting of Mapillary images to Wikimedia Commons so they can be used in different projects and Wikipedia articles.

How to Map Bus Routes and Infrastructure on OpenStreetMap

There’s lots of data about bus routes and bus stops that you can add to OpenStreetMap. Here is an overview of how to add information on routes, accessibility, and amenities by using street-level images.

How to Improve OpenStreetMap Road Data with Mapillary

Mapillary Ambassador Nuno teaches you how to use Mapillary to enhance road data in OpenStreetMap, including turn restrictions, speed limits and bumps, turning lanes, traffic signs, and sidewalk information.

By the Numbers: How to Make Your Own Leaderboard for Mapillary Uploads

You can now build a custom leaderboard for your event or challenge with help of the Mapillary API. Here's how.

Where’s My Data? How to Retrieve Mapillary Images to Use in External Tools

Getting your Mapillary tracks and photos as line and point data is easy. Here is a step-by-step guide to pull the data you need via the Mapillary API, so you’ll be able to use it in any tool you want.

How to Map Hiking Routes in OpenStreetMap and Mapillary

Detailed maps are essential to enjoy hiking to the fullest. Combining Mapillary with OSM gives you the ability to map your favorite trails and let everyone else explore the area.

Mapping Your Perspective: Mapillary and Viewshed in ArcGIS Online

This is the first out of two blog posts that teach you how to combine the power of viewshed and Mapillary to give a more complete idea of what is visible from a given point on the map.

Mapping with Action Cameras, Mapillary, and OpenStreetMap

Learn some great tips about photo mapping with action cameras in this guest post by Mapbox engineer Bryan Housel.

Scaling Down an Elasticsearch Cluster

In the general pursuit of scaling things up, sometimes you want to scale down instead. Just like we did with the Elasticsearch cluster on the Mapillary backend.

Find the Route to Photo Map: Mapillary Image Layer in OsmAnd+

The OsmAnd+ app helps you find routes that are not yet covered on Mapillary so that you'd know where to photo map. Our Ambassador Nuno explains how.

How to Share Mapillary Captures on Jekyll

Capturing the world around us involves a lot of fun and an adventure worth sharing. Maybe you want to explain how you captured, or just share a street-level experience. Learn here how to include navigable Mapillary sequences into a static web blog with Jekyll.

How to Start Photomapping - Mapillary 101

Welcome to Mapillary! This post is about what it is and how it works. After finding out the answers to the six questions below, you will be ready to start photo mapping!

The Next Level of OSM Editing—Using Mapillary with iD Editor and JOSM

Editing OpenStreetMap can be taken to the next level by using the rich information in Mapillary street photos. Our video guides show you how to do that with iD Editor and JOSM.

How to Use Mapillary for Editing OpenStreetMap

We at Mapillary are great fans of OpenStreetMap and are very happy to see that Mapillary is a useful tool for map editing. With Mapillary you can capture street photos when you walk, ride your bike or drive. Once you upload the photos to Mapillary they are available for map editing on OpenStreetMap. The photos are useful for capturing features you can’t see on satellite imagery like building information, road conditions, traffic signs etc. By nature, it's often the most up-to-date source of reliable information on the ground.