code violation
Garbage trucks analyze thousands of homes with AI-powered cameras
City Detects's Blight Scores can help catch code violations, but critics aren't so sure. More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. Garbage trucks have a new side hustle: unkempt yard snitches. Garbage trucks now do more than just pick up tossed-out food scraps and junk. In at least four states (California, Georgia, South Carolina, Texas), some city-run sanitation vehicles are being outfitted with AI-equipped cameras from a company called City Detect .
Lessons from a human-in-the-loop machine learning approach for identifying vacant, abandoned, and deteriorated properties in Savannah, Georgia
Liang, Xiaofan, Brainerd, Brian, Hicks, Tara, Andris, Clio
Addressing strategies for managing vacant, abandoned, and deteriorated (VAD) properties is important for maintaining healthy communities. Yet, the process of identifying these properties can be difficult. Here, we create a human-in-the-loop machine learning (HITLML) model called VADecide and apply it to a parcel-level case study in Savannah, Georgia. The results show a higher prediction accuracy than was achieved when using a machine learning model without human input in the training. The HITLML approach also reveals differences between machine vs. human-generated results. Our findings contribute to knowledge about the advantages and challenges of HITLML in urban planning.