View Streets - STREET - Waste Mapping - Dar es Salaam, Tanzania (3) HeiGIT
View Streets
Finished
Waste Mapping - Dar es Salaam, Tanzania
HeiGIT
Jul 10, 2025
Project overview
The aim of this project is to develop a deep learning model to recognise municipal waste in street views. Images labelled in MapSwipe will be used to improve the models performance. The model can help local authorities to improve waste management infrastructure, create an indicator of waste pollution and assess the impact of canal clogging for flood risk assessment. A previous work on this topic can be found [here](https://dl.acm.org/doi/abs/10.1145/3677525.3678649). [Image source](https://commons.wikimedia.org/wiki/File:DEGRADATION_FOR_DEVELOPMENT.jpg)
13
km2
281
Contributors
Project Completion
95% completed
Last updated: Oct 13, 2025
Download the data
Below you'll find the data downloads for this MapSwipe project, including a GeoJSON file that can be imported into the HOT Tasking Manager for more detailed mapping of the area. If you need more information or if you have a special request related to MapSwipe data get in contact with the team at the Heidelberg Institute for Geoinformation Technology
Aggregated Results
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.3 MB
Aggregated Results (with Geometry)
Aggregated Results. This gives you the unfiltered MapSwipe results aggregated on the task level. This is most suited if you want to apply some custom data processing with the MapSwipe data, e.g. select only specific tasks. Check our documentation for more details. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.4 MB
Groups
Groups. (Note that you need to unzip this .gz file before you can use it.)
GZIP
3.8 kB
History
History
CSV
4.9 kB
Results
This gives you the unfiltered MapSwipe results. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.5 MB
Tasks
Tasks. (Note that you need to unzip this .gz file before you can use it.)
GZIP
0.3 MB
Users
This dataset contains information on the individual contributions per user. This tells you for instance the most active users of this project. (Note that you need to unzip this .gz file before you can use it.)
GZIP
12.3 kB
Area of Interest
This dataset contains information on the project region.
GEOJSON
29.3 kB
Our license
This project is part of the OpenStreetMap community. The goal is high-quality geographical data, freely accessible and available to everyone. OSM’s reciprocal license protects the data from being appropriated by services that do not share back to OSM.
MapSwipe is released under a "liberal" non-reciprocal license (Creative Commons Attribution). Whenever you want to use the data, just make sure to credit the MapSwipe contributors.