190119CodeforIkoma_Mapillary

瀬戸寿一 (2019年1月)「オープンなストリート画像共有サービスMapillaryとは？」、Code for Ikoma定例会、市民活動推進センターららポート、2019年1月19日

Transcript

1. / 0 (2 !     "     G C I G 9 / S O M / S 1 / )/ /
2. C -- 0 : 1 A B 4 C 1 :2 4 3460 2 /362 2 1 90 630 km 2
3. 9 https://twitter.com/jesolem 03/12/
4. 2 0 / 1 #$ ! ! !   )(
   ! '& %"
5. 2 0 / 1 -
6. 2 0 / 1 https://www.mapillary.com/app/
7. 2 0 / 1  
   
8. 2 0 / 1    
9. 12/ 0  
    https://blog.mapillary.com/update/2018/12/06/mapillary-in-japan.html
10. 12/ 0  
     
11. 12/ 0  
    
12. 12/ 0 # https://mapillary.github.io/mapillary_greenhouse/
13. 230 / 1 8 https://www.johnscreekga.gov/NewsAndEvents/News-Archive/2017- News/Complete-the-Map-residents-can-participate-in-str
14. 2 0 / 1 https://mapillary.github.io/mapillary_greenhouse/global-challenge/q2-2018/ Score = (total unique KM contributed + (images/1000)) * (1 + (count of local participants/10))
15. 2 0 / 1 Mapillary images are available under the Creative Commons Attribution-ShareAlike 4.0 (CC BY-SA 4.0)
16. 2 0 / 1
     https://www.mapillary.com/pricing
17. 2 0 / 1
       http://openaccess.thecvf.com/content_ICCV_2017/papers/Neuhold_The_Mapillary_Vi stas_ICCV_2017_paper.pdf
18. 2 0 / 1 1 0 2 5 0 1 0 The Mapillary Vistas Dataset for Semantic Understanding of Street Scenes doi: 10.1109/ICCV.2017.534
19. 12/ 0 - - - - ( - ( - - ) https://research.mapillary.com/lsun.html
20. 12/ 0 Mapillary Vistas Dataset  25,000 & 100   
      https://research.mapillary.com/
21. 12/ 0 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
22. 12/ 0 http://www.robustvision.net/
23. 230 / 1 https://blog.mapillary.com/update/2018/06/14/robust-cv.html
24. 2 0 / 1 : https://arxiv.org/abs/1712.02616
25. 2 0 / 1 3/ ) ( 0 . 3 . https://github.com/mapillary/mapillary-js
26. 2 0 / 1 https://blog.mapillary.com/update/2018/06/12/mapillary-for-organizations.html
27. 67 wl k m 3 . ( https://github.com/enricofer/go2mapillary • 0 1 ( o Qi tpI JS • x M e V i I • 0 x 0 1 G J 0375297 G • / 9 C.1QW d fV f M y • b a r Thanks! Christopher Beddow
28. 4 : 2 kyh g . . / . • f f O S o 0 2 Oe d • 2 9 2 F 0 2 F19:9 492 P 9 : • r Mvs R tMO ipl mnwI • f c Waf 8 2 2 9 .9 2 .9 / C9 Thanks! Christopher Beddow
29. /0 1 4 • S P A • 9 90 0 99 ad • 2. 9 • M O Ce k f c • ek m o C j i C I . . / . Thanks! Christopher Beddow
30. 230 / 1  
    
31. 230 / 1 Thank you! tosseto@csis.u-tokyo.ac.jp http://researchmap.jp/tosseto https://speakerdeck.com/tosseto