Mapillary: Street-Level Imagery and Mapping Platform
Mapillary supports governments, researchers, and urban planners in scaling mapping efforts. It is designed for teams that need to automate the detection of street assets and traffic signs.
At a glance
- Category
- Data & Analytics
- Best for
- Urban planners, GIS developers, Government transport agencies, Mobility researchers, Autonomous driving project teams
- Pricing
- Mapillary is listed as having a free pricing model and offers a free cloud API.
- Key use cases
- Urban Planning and Mobility, Automated Asset Inventory, Infrastructure Monitoring, Open Data Contribution
- Integrations
- OpenStreetMap, ArcGIS, HERE Map Creator
- Official website
- mapillary.com
Mapillary is a collaborative platform that aggregates street-level imagery from a global network of contributors. It supports uploads from a variety of devices, including smartphones, 360° cameras, and dashcams, to create a view of roads and infrastructure.
The tool is designed for organizations focused on urban planning, mobility, and navigation. By using computer vision and machine learning, the platform may help automatically detect map features and classify traffic signs to support the maintenance of map data.
Buyers should note that the platform is geared toward open data and developer workflows, offering a cloud API and open-source libraries for integration into GIS tools.
Because it relies on crowdsourced imagery, the level of detail in a specific area depends on the contributions available in that region.
Key Features
Automatically detects over 40 types of map features and classifies traffic signs into over 1,500 categories.
Supports uploads from smartphones, 360° cameras, action cameras, dashcams, and professional rigs.
Uses algorithms designed to blur faces and license plates to help protect privacy.
Provides a free cloud API to access and share street-level imagery and map data.
Connects images into street-level views that can be integrated into other applications.
Use Cases
Using street-level imagery to help make decisions about city infrastructure, roads, and navigation.
Detecting and classifying traffic signs and other map features to help reduce manual mapping work.
Comparing imagery from different times to observe changes during construction or maintenance projects.
Publishing street-level imagery as open data for use by researchers, governments, and other organizations.
Best For
Integrations
Pricing
Mapillary is listed as having a free pricing model and offers a free cloud API.
FAQ
Mapillary is a platform that hosts and processes street-level imagery to help scale and automate mapping through computer vision and crowdsourced photos.
The platform supports various devices, including smartphones, 360° cameras, dashcams, action cameras, and professional rigs.
The provided evidence indicates a free pricing model and includes a free cloud API for accessing data.
It uses automated technology designed to blur faces and license plates, with manual edit tools available if needed.
Source category: Data & Analytics
Source subcategory: Computer Vision
