Mask R-CNN Neural Network for Mapping Sport Fields in OpenStreetMap
Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm
Mask R-CNN Neural Network for Mapping Sport Fields in OpenStreetMap launched on January 2, 2018 with 94 votes, #450 of 3,021 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 8 years on.
In plain words
Mask R-CNN is an AI neural network designed to automatically detect and map sports fields for OpenStreetMap. It uses computer vision to identify sports field boundaries in satellite imagery, making it easier to add this geographic data to the open-source mapping platform. The tool is intended for mappers and contributors who want to improve OpenStreetMap's coverage of sports infrastructure. It automates what would otherwise be manual digitization work from aerial images.
written from the facts on this page · September 2026
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