StreetScouting dataset: A Street-Level Image dataset for finetuning and applying custom object detectors for urban feature selection

The dataset consists of two .zip files.

The first .zip file named "annotated dataset" contains a folder named “annotated dataset" with annotated street images. It consists of the folder “images” that has 763 image files. The image format is PNG. 432 images have dimensions of 1080 x 2160 and 331 have dimensions of 866 x 2400. The filenames are random uuids. The “annotated dataset” folder also contains the annotations in the file “coco_annotations.json”. Annotations are provided in COCO format. Table 1 shows the total number of annotated objects per class.

Table 1. Total number of annotated objects per class

Class
Annotated Objects

Tree
1922

Waste Bin
223

Recycling Bin
181

Lighting Pole
716

Shop Storefront
628

The second .zip file is named "routes" and contains a folder named “routes” with consecutive frames of four different driving routes in the city of Thessaloniki and their corresponding GPS signal. So the folder “routes” contains 4 folders in the following format “VID__” where Y denotes digits for year, M denotes digits for month, D denotes digits for day, H denotes digits for hour, m denotes digits for minutes and S denotes digits for seconds. Not the filename represents the start of the collection sequence. All street data was collected in 2022. Each route folder has the “images” folder which contains the consecutive street image data. Image data in this folder is in JPEG format. Each filename in ‘images’ has the frame_.jpg format where id denotes the order of the frame. Table 2 shows more details regarding the number of frames and frame dimension of the driving routes.

Table 2. Total number frames and frame dimensions for each of the routes

Route Name
Frames Number
Frame Dimension
Route duration

VID_20220617_111456
41,650
1080 x 2160
1h, 9m, 26s

VID_20220210_112926
23.035
866 x 2400
38m, 26s

VID_20220209_114831
18.000
1080 x 2160
30m, 3s

VID_20220209_123323
18.273
1080 x 2160
30m, 30s

Each route folder contains a “gps.json” file which contains latitude and longitude information for each frame. This file is essentially a JSON list of objects that each object contains the “frame_name” attribute and the corresponding “coordinates” object which contains the “latitude” and "longitude" attributes.