Mapping is time-consuming and requires a high volume of a workforce when it comes to keep maps up to date periodically. This brings the need of finding alternative approaches to keep maps up to date. Mobile mapping is the process of collecting geospatial data from a mobile vehicle using a 360º camera, laser scanner, GPS/IMU positioning system, and other sensors. Many devices now include a geotag for every photo captured, and GPS accuracy can have major effects on the quality of street-level imagery and derived data. Join us in an exploration of the different accuracy levels of GPS-enabled cameras, where we will take a look at how different devices compare, and what varied levels of GPS accuracy look like both for image location and for data extracted using computer vision and structure from motion. Understanding the differences between devices is an important step in planning street-level imagery capture, as it will align your expectations with the advantages and limitations of the hardware you use. We tested various devices and will share the results of our investigation, with the aim of equipping you to capture street-level imagery with the tools and methods that fit your needs.