Machine Learning Accessibility

Project Sidewalk is a crowdsourced endeavor to map street marker accessibility issues or then the world. The projection uses Google Street View images to bring out out where accessibility problems are apparent on the streets.

Using Project Sidewalk you lot tin attention position accessibility problems (such equally missing curb ramps on sidewalks, obstacles on paths in addition to uneven surfaces) past times tagging them on Google Maps Street View. When you lot offset start using Project Sidewalk you lot are walked through how to location in addition to position accessibility problems on Street View. After completing the tutorial you lot tin explore the streets on Street View in addition to bring out in addition to label whatsoever accessibility features that you lot find.

Project Sidewalk users accept already mapped the accessibility of almost one-half of Washington DC. Once Project Sidewalk has plenty crowdsourced information it should last able to develop amend figurer vision in addition to machine learning algorithms to automatically bring out accessibility issues amongst Street View. This would enable developers to automatically practise accessibility maps in addition to routing engines for people amongst accessibility problems.

You mightiness too similar The History of Machine Learning in addition to Street View, which looks at how MIT has trained figurer AI's to position the security of urban marrow streets in addition to neighborhoods experiencing high levels of urban development.