The potential applications of street-level imagery and deep learning methods are countless: reliable logistics, inclusive mobility, accessibility analysis.
But there are many challenges, too: How to easily collect new imagery? How to process the imagery in a free, flexible and safe way?

We wrote about our best practices and related projects on our blog: https://buff.ly/0VCrNj3

Does anyone here have best practices or innovative uses of #streetlevel images to share? What should we map next?