About Mapillary
Mapillary is a mapping software from Mapillary that allows users to create and share street-level imagery. It combines crowdsourced photos, advanced computer vision, and geographic data so users can visualize and analyze road conditions and urban environments. The platform supports the integration of images from various devices and provides tools for annotating and processing the captured data. Users can contribute to a growing database of images that improve neighborhood mapping and help in urban planning. Key capabilities: crowdsourced imagery geographic data integration advanced computer vision annotation tools image analytics Best for: urban planners and developers that need detailed visual information for infrastructure projects.
Mapillary by Mapillary is a unique GIS platform centered on street-level imagery collection, visualization, and analysis. Its primary purpose is to provide organizations and individuals with an open, collaborative mapping environment where users upload geotagged photos to build a comprehensive visual dataset of the world’s streets. Key features include automatic image processing, object detection, map editing capabilities, and access to vast imagery libraries used for transportation planning, asset inventory, and urban development projects. The user interface of Mapillary is simple, clean, and highly accessible. Its web platform offers fluid navigation, allowing users to browse imagery, explore geographic areas, view sequences, and contribute photos with ease. The interface resembles a streamlined street-view system, with quick-loading imagery and intuitive controls that minimize complexity. Users can switch between map layers, imagery sequences, and analytical overlays smoothly, making the experience efficient across skill levels. Functionality in Mapillary is extensive for an imagery-based GIS tool. It automatically processes uploaded images to detect features such as road signs, sidewalks, guardrails, trees, and buildings. This automated extraction of map data sets it apart from traditional GIS platforms.
Pros & Cons
- The crowdsourced model ensures highly current, detailed coverage in areas traditional vehicles miss.
- Using standard, inexpensive cameras removes a huge financial barrier for mapping contribution.
- Computer vision automation minimizes the manual labor needed to extract essential map data.
- Integration with ArcGIS and a strong API makes it very easy for professionals to adopt.
- Making the vast street-level data open strongly benefits researchers, cities, and non-profits.
- Imagery quality can be inconsistent since it depends entirely on the variety of user-uploaded devices.
- Coverage is uneven globally, with many developing areas still lacking sufficient images.
- The system is owned by Meta (Facebook), which can cause open-source users privacy concerns.
- Relying on GPS data from consumer devices may sometimes result in lower positional accuracy.
- The focus is exclusively on street-level imagery, offering no direct aerial perspective for context.
Features
Key features
Relies on a global community of users to contribute and share over two billion street-level images from all over the world, promoting open data for everyone.
Allows users to capture and upload imagery using any kind of camera—from smartphones to action cameras—putting places on the map without proprietary hardware.
Uses machine learning to automatically recognize and extract map features, like traffic signs and other road assets, to speed up mapping efforts significantly.
Provides a street-level point of view and detailed imagery that allows users to update maps with information and details not visible from traditional aerial images.
Supports multiple methods for image contribution, including Android and iOS apps, a desktop uploader, and a command line uploader for bulk operations.
Offers solutions for ArcGIS integration and provides a developer API (Mapillary JS) to build custom applications and leverage the data in external GIS tools.
Additional features
Machines speed things up by using map features extracted with computer vision.
Opens up data to help everyone make better decisions about cities, mobility, and autonomous driving.
Dedicated Android and iOS apps are available for capturing and exploring imagery.
Provides a specific application for uploading images from a desktop.
Offers a command line tool for advanced or bulk uploads.
An online interface for viewing and navigating the street-level imagery.
Offers a GIS solution for hosting street-level images.
A GIS solution leveraging computer vision to recognize road assets.
Provides a GIS solution for seamless integration with the ArcGIS platform.
Provides access to open data for various applications.
Shares case studies demonstrating how Mapillary works in real-world scenarios.
A developer tool and JavaScript library for building web applications.
Provides image datasets for developers and researchers.
A developer tool referencing an open-source Structure from Motion library often used in photogrammetry.
Offers resources to guide users on which cameras to use.
Provides resources and integration with the OpenStreetMap community.
Provides resources and integration with the HERE map creator platform.
Provides a community resource for discussion and support.
Pricing
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About Mapillary
Mapillary is a mapping software from Mapillary that allows users to create and share street-level imagery. It combines crowdsourced photos, advanced computer vision, and geographic data so users can visualize and analyze road conditions and urban environments. The platform supports the integration of images from various devices and provides tools for annotating and processing the captured data. Users can contribute to a growing database of images that improve neighborhood mapping and help in urban planning. Key capabilities: crowdsourced imagery geographic data integration advanced computer vision annotation tools image analytics Best for: urban planners and developers that need detailed visual information for infrastructure projects.
Mapillary Details
Mapillary's In-App Market Place
Does Mapillary have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N/A
Pricing Options
Accepted Payment Currencies
USD ($), EUR (€), SEK (kr), NOK (kr), DKK (kr), GBP (£), AUD ($), CAD ($), JPY (¥), CHF (CHF)
Pros & Cons
- The crowdsourced model ensures highly current, detailed coverage in areas traditional vehicles miss.
- Using standard, inexpensive cameras removes a huge financial barrier for mapping contribution.
- Computer vision automation minimizes the manual labor needed to extract essential map data.
- Integration with ArcGIS and a strong API makes it very easy for professionals to adopt.
- Making the vast street-level data open strongly benefits researchers, cities, and non-profits.
- Imagery quality can be inconsistent since it depends entirely on the variety of user-uploaded devices.
- Coverage is uneven globally, with many developing areas still lacking sufficient images.
- The system is owned by Meta (Facebook), which can cause open-source users privacy concerns.
- Relying on GPS data from consumer devices may sometimes result in lower positional accuracy.
- The focus is exclusively on street-level imagery, offering no direct aerial perspective for context.
Mapillary's Support Options
Email Address
support@mapillary.comCommunity Forums
https://forum.mapillary.com/Mapillary's Alternatives
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