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AI · alternatives · 2026

24 alternatives to Data Preperation for Satellite Machine Learning Using OpenStreetMap

Data Preparation for Satellite Machine Learning. Contribute to developmentseed/label-maker development by creating an account on GitHub.

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Data Preperation for Satellite Machine Learning Using OpenStreetMap launched in 2018; newer entries below may have overtaken it.

  1. 1

    :satellite: Simple and ready-to-use tutorials for TensorFlow - GitHub - instillai/TensorFlow-Course: :satellite: Simple and ready-to-use tutorials for TensorFlow

    2018 · github.com · its alternatives →

  2. 2OO

    Hi HN, After 9 years of running my own OpenStreetMap tile server infra for MapHub (https://news.ycombinator.com/item?id=11389989), I've open-sourced it and launched OpenFreeMap. You can either self-host or use our public instance. Everything is open-source, including the full production setup — there’s no 'open-core' model here. Check out the repo (https://github.com/hyperknot/openfreemap). The map data comes from OpenStreetMap. I also provide weekly full planet downloads both in Btrfs and MBTiles formats. I aim to cover the running costs of the public…

    2024 · openfreemap.org · its alternatives →

  3. 3

    Flexible tool to build planet-scale vector tilesets from OpenStreetMap data fast - onthegomap/planetiler

    2021 · github.com · its alternatives →

  4. 4

    Satellite imagery for dummies. Contribute to plant99/felicette development by creating an account on GitHub.

    2020 · github.com · its alternatives →

  5. 5

    Open-source machine learning library by Google

    2017 · tensorflow.org · its alternatives →

  6. 6
  7. 7

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2019 · github.com · its alternatives →

  8. 8MO

    Hey HackerNews, Today I'd like to share my open source project, Moonshine! Pretrained vision models are a popular way to reduce how much data you need and to speed up training, but for remote sensing (i.e. aerial, satellite) it can be a challenge to find good weights. Why use Moonshine? 1. Pretrained on multispectral data: Existing popular CV packages are nice to use but are trained on ImageNet or similar, meaning that not only is the domain of the pretraining different, but you may be restricted to only 3 channels. For remote sensing platforms with multispectral data, this might be a…

    2023 · moonshineai.readthedocs.io · its alternatives →

  9. 9

    simple mbtiles server. Contribute to markuman/sms development by creating an account on GitHub.

    2024 · github.com · its alternatives →

  10. 10

    Use Mask R-CNN/Keras/TensorFlow and OSM to find features in satellite images for fun. - jremillard/images-to-osm

    2018 · github.com · its alternatives →

  11. 11

    :satellite: Organized & Useful Resources about Deep Learning with TensorFlow - astorfi/TensorFlow-World-Resources

    2018 · github.com · its alternatives →

  12. 12
    MindsDB▲235

    In-database machine learning

    2022 · its alternatives →

  13. 13TD
  14. 14

    Quickly view satellite imagery, hyperspectral imagery, and machine learning image outputs directly in your iTerm2 terminal. - daleroberts/bv

    2016 · github.com · its alternatives →

  15. 15

    A visual search tool for satellite imagery

    2016 · terrapattern.com · its alternatives →

  16. 16

    Help teams apply machine learning to real-world applications

    2017 · its alternatives →

  17. 17

    A "virtual satellite" to map Earth in unprecedented detail

    2025 · deepmind.google · its alternatives →

  18. 18

    Custom map-based clothing from OpenStreetMap data

    2014 · monochome.com · its alternatives →

  19. 19
    MapJam▲137

    Beautiful personalized map sharing

    2014 · its alternatives →

  20. 20

    Hey HN, jvaclavik here from OpenClimbing team! We are thrilled to release version 2.0 of our fully opensource/opendata climbing guide. Based on OpenStreetMap for map-data and Wikimedia Commons for images, we created a (hopefully) user-friendly app which completely uses these open databases, thus contributing data back to commons. We designed a simple and powerful notation for drawing climbing routes directly over the Wikimedia pictures: - https://wiki.openstreetmap.org/wiki/Key:wikimedia_commons:pa... Check out the release article for a ton of new features, or go…

    2014 · openstreetmap.org · its alternatives →

  21. 21
    Cortex▲81

    Deploy, manage, and scale machine learning applications

    2019 · its alternatives →

  22. 22OA
  23. 23
    gimbap▲70

    A developer tool for microservice clustering recommendations

    2021 · its alternatives →

  24. 24

    Cartography resources. Contribute to GuildMasterDev/Cartographer development by creating an account on GitHub.

    2025 · github.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →