Mapillary
Mapillary is a crowdsourced street-level imagery platform.
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Mapillary is a crowdsourced street-level imagery platform.
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Mapillary is a street-level imagery platform that uses crowdsourced photos and videos to map the world. This tool allows users to upload images and videos taken from various devices, which are then used to create detailed, immersive maps. The primary problem Mapillary solves is the lack of street view imagery from all around the world. It utilizes computer vision technology to analyze and stitch together images.
Mapillary lets you filter results by date and feature e.g. streetlights, rubbish bins, traffic signs, CCTV cameras, etc.
Available in the following formats:
Web
Mobile
Command line and desktop image uploaders are also available
The example below shows a search for street level imagery in Amsterdam:
Online Open Source Investigators can leverage Mapilliary in numerous ways:
Geolocation The primary use for Mapilliary is geolocation where users can identify and confirm the geographic position of an image or video from landmarks, public utilities, and service locations.
Fact-Checking: Mapillary can also serve as a tool for fact-checking statements or claims about specific locations. Open source researchers can verify the existence of certain buildings, street signs, or other landmarks to authenticate claims.
Mapillary offers a tiered pricing model. While individuals can contribute and access images for free, there are paid subscriptions for businesses and organizations that require advanced mapping capabilities, API access, and commercial use rights.
Web: any modern web browser and an account requires an email address
Mobile: Android and iOS
Mapillary, while providing an extensive database of street-level imagery, carries certain limitations that researchers and users must be aware of:
Image Quality: The quality of the images can vary significantly depending on the equipment used and the conditions at the time of capture.
Data Freshness: The platform may not have up-to-date imagery for all locations, which can impact the relevance of the data for certain applications (see Coverage Gaps).
When embedding or using data from Mapillary, several ethical considerations should be taken into account:
Privacy Concerns: Images on Mapillary may include individuals or property inadvertently, despite efforts to blur faces and license plates. Consider the impact of sharing such images especially in sensitive or private areas.
It's important to weigh these considerations carefully and engage in best practices to mitigate any potential harm.
To effectively use Mapillary, especially for beginners or those looking to refine their skills, the following resources are highly recommended:
Bellingcat Volunteer Community/Unassigned
Coverage Gaps: Not all locations are equally covered. Remote or less-traveled areas may have sparse or outdated imagery. For instance, found data coverage showing less contributor inequality than in OpenStreetMap but significant seasonal variation.
Data Accuracy: like other services Mapiliary has data accuracy issues (for instance ) that researchers should be aware of.
Processing Delays: Due to the need for privacy filtering and data processing, there is a delay between when images are uploaded and when they are visible on the platform, see .
API Rate Limits: The use of Mapillary's API is subject to rate limits, which can affect how quickly and extensively data can be accessed for projects (see: ).
Data Usage: Understand and respect the terms of use set by Mapillary regarding how their data can be used, especially for commercial purposes. Misusing the data could have legal and ethical implications, see and the .
Bias in Data: Acknowledge any potential bias in the geographic coverage and content of the images. Some areas may be over-represented while others are under-represented, which could affect the fairness and inclusivity of projects using Mapillary data. For a general overview of bias in crowd sourced applications like Mapilary see .
Team, B.I. (2022) Unravelling the Killing of Shireen Abu Akleh, bellingcat. Available at: (Accessed: 6 April 2024).
Fiorella, G. (2020) Geolocating Venezuelan Lawmakers In Europe, bellingcat. Available at: (Accessed: 6 April 2024).
Meta - United States (Mapillary AB, based in Malmö, Sweden acquired by Meta Platforms in 2020)
