Tag: street-level imagery

Street-level imagery combined with deep learning methods is transforming how we detect and map critical infrastructure characteristics that are often missing from existing datasets. Applications range from road surface classification…

This blog article was originally posted on Medium by Maciej Adamiak, machine learning expert at HeiGIT. It’s very easy to take many things around us for granted, especially when you live…

Crowdsourced street-level imagery can be used to detect and map humanitarian-relevant features in near real time. We have developed a machine-learning-based analytical pipeline that integrates with the open-source imagery catalogue…