## Data and Methods  
### Data Collection  
To detect objects, such as trees and lights, there is a need for visual data from the streets of a region or a city. As we mentioned in Section 2, many similar works use Google Street View to retrieve street data. One major problem is that Google Street View has imposed restrictive permission for data usage that prevents the use of the service for our purposes. Additionally, some of the detection approaches that are described in the paper, work under the assumption that the input data are consecutive frames from a video, extracted under a specific frame per second (FPS) rate. Such data cannot be retrieved from Google Street View or similar services. Last but not least, Google Street View data are usually not updated, especially in smaller cities. Although updating such data with our data collection approach is costly, is still a good trade-off for the users of the platform that would otherwise perform the detection task using manual inspection methods.  
As mentioned in Section 1, StreetScouting can be used by urban planning administrators and policymakers, municipal offices, geoinformatics companies, and other commercial organizations. These users are responsible for collecting the street data according to their needs and the regions of interest. StreetScouting currently assumes that the data collection route is not overlapping. This assumption is made to deal with duplicate detections.  
In the context of the GRUIBLES project, the footage is captured by specific personnel from a geoinformatics company partner, that participates in the project. The Insta Pro2 camera ([[https://store.insta360.com/product/Pro_2](https://store.insta360.com/product/Pro_2)]([https://store.insta360.com/product/Pro_2](https://store.insta360.com/product/Pro_2)), accessed date 29 November 2022) is used to capture visual content. This camera consists of 6 ultra-wide-angle lenses for recording 360 deg scenes with a 200 deg coverage angle each, with the aim of stitching the images and reconstructing them into either a 2D or 3D panoramic scene. During data collection, this camera is mounted on a car and precise routes are designed beforehand. For wireless remote sensing, real-time camera control, and wireless pairing, an antenna is connected to the RF socket of the wireless access point and an application for survey devices with a user-friendly interface is utilized. The application provides options to control the number of frames per second (FPS), the size of the frame resolution as well as the real-time stitching of the panorama. In contrast to the short distance of the wireless local connection between the survey device and the camera, the signal received by the camera's internal GPS unit is likely to show discontinuities leading to successive null or undefined GPS coordinates. This problem is solved by adding an external antenna to the appropriate socket of the camera. During the dataset collection process, the maximum suitable speed to avoid GPS distortions was set empirically to be 50 km/h, which is often the upper limit of speed in most urban areas.  
Apart from the collected data using the Insta Pro2 camera, the personnel responsible for data collection may also input additional video data from conventional cameras. In this case, it is possible for the user to insert a GPS signal from an external device in GPX file format.  
For the GRUIBLES use case, the collected dataset amounts to approximately 10 h of footage from the city center of Thessaloniki in Greece.