OSM-AI-helper: a Blueprint by Mozilla.ai for mapping Features in OpenStreetMap with Computer Vision
This Blueprint helps you use object detection and image segmentation models to identify and map features in OpenStreetMap.
Quick-start
Get started right away finding swimming pools and contributing them to OpenStreetMap:
| Google Colab | HuggingFace Spaces | GitHub Codespaces |
|---|---|---|
Process full Area  Around a Point |
 |
 |
You can also create your own dataset and finetune a new model for a different use case:
| Create Dataset | Finetune Model |
|---|---|
|
|
License
This project is licensed under the AGPL-3.0 License. See the LICENSE file for details.
Contributing
Contributions are welcome! To get started, you can check out the CONTRIBUTING.md file.
1 maintainer
Metadata
1 maintainer
Release files for osm-ai-helper 1.5.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| osm_ai_helper-1.5.3.tar.gz | 8.3 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| osm_ai_helper-1.5.3-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.3 MB
Release files / osm_ai_helper-1.5.3.tar.gz
| Download URL | osm_ai_helper-1.5.3.tar.gz |
|---|---|
| Size | 8.3 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
75db64593cffb5c6cc1c47c2917945ab1a7eaecf24d8aa28e8f106b8d2cf0ae2
|
|
BLAKE2b-256 checksum How to use checksums |
a684fe5fed0d568a7a48fcc3c4e384b51e3e25af09fbf6b14ca5fa52f283f454
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 29, 2025.
Transparency logRelease files / osm_ai_helper-1.5.3-py3-none-any.whl
| Download URL | osm_ai_helper-1.5.3-py3-none-any.whl |
|---|---|
| Size | 30.6 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
f8263ae86032a66ec12cd28e9ea94f8ba2220ad17aed65577fe5c7ff7090a5cf
|
|
BLAKE2b-256 checksum How to use checksums |
2095fee130a47cc74cac746c5d6921988cb3bbd805ced13942f372cca9ec2f87
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/6.1.0 CPython/3.12.9
|
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Jul 29, 2025.
Transparency log
