/0 12 8 0 2 1 , •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
. 788 / 6 1 66 . MQ e V e W 3 . ( https://github.com/enricofer/go2mapillary • 0 1 ( lnx i WM G • tpJO V i W • 0 tp 0 1 M IG 0365276 • . 788 1 b Jr • aS Vw Thanks! Christopher Beddow
0 0 C . 0 RSe Wle cm . . / . • Fdmh m O r . 0 F Ok fF F • 0 0 C . 0: / 8 : 2 0 :: P 18 • yv Stw O nsoMp • mai fF gm 4 0:0 1 0 1 Thanks! Christopher Beddow