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Mapillary images are available under the Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0)
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•Road markings: increased from 6 classes to 21 classes including speed limits and direction
arrows, which are essential classes for building navigation and HD maps.
•Driveway: a new class that we’ve introduced to help enhance data extraction for last-mile
•Barriers: increased from 6 to 11 classes. Detailed refinement of the barrier classes is the first
step to enhance the perception capacity for autonomous driving under different scenarios.
•Signages: the billboard class is now refined to advertisement, storefront, and general
information signages. This facilitates automatic and in-depth location-aware data extraction
for marketing, business, and point-of-interest analysis.
•Traffic light states: dynamic properties are associated with static objects. In this case, we
have refined 100K traffic light annotations with different state
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https://blog.mapillary.com/update/2019/03/12/toyota-research-institute-and-mapillary.html
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https://blog.mapillary.com/update/2019/03/27/announcing-verification-projects.html