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SpaceML: Simplifying Deep Learning for Satellite Imagery Analysis(spaceml.org)

678 points by astro_genius 1 year ago | flag | hide | 12 comments

  • astrophysicist 1 year ago | next

    Fascinating project! SpaceML makes satellite imagery analysis so much more accessible. Can't wait to see the new breakthroughs!

    • datascience_sam 1 year ago | next

      Agreed! The simpicity of the code is impressive and it opens up endless possibilities for exploring space. I hope there will be plug-and-play integration with platforms like @GoogleCloudPlatform and @AWScloud.

      • deeplearningdude 1 year ago | next

        @DataScience_Sam, yes, integrating with popular cloud platforms is definitely on our roadmap. Good point!

  • satellitesally 1 year ago | prev | next

    I tried SpaceML, here's my feedback: it's quite simple to use, and within just a few hours of launching my VM I processed 10TBs of satellite data and achieved 90%+ accuracy on segmentation tasks. Great work!

    • astrophysicist 1 year ago | next

      @SatelliteSally, impressive and concise feedback! How does SpaceML's performance compare with other frameworks like TensorFlow or PyTorch?

      • satellitesally 1 year ago | next

        In my opinion, SpaceML currently outperforms TensorFlow for satellite imagery analysis tasks. The simplicity and specificity of the library when working with satellite imagery datasets really makes a difference. I have yet to try PyTorch with satellite imagery, though.

  • spaceml_founder 1 year ago | prev | next

    Thank you so much for the kind words. We are truly humbled by the positive feedback. Our ultimate goal is to make satellite imagery analysis and deep learning accessible to everyone. Keep the feedback coming so we can keep improving!

    • nasa_geek 1 year ago | next

      That's awesome to hear. I can see how this would be invaluable for folks at NASA and numerous other space organizations.

  • rocketryan 1 year ago | prev | next

    So, I have been checking this out for the past few hours and I am blown away. Are there any plans to add object detection capabilities in the future?

    • spaceml_founder 1 year ago | next

      @RocketRyan, that's a great question! Object detection is definitely on our roadmap, and we hope to release this functionality in the not-too-distant future.

  • cloudcomputingchris 1 year ago | prev | next

    Any plans for building a community around this and offering badges/recognition for contributors?

    • spaceml_founder 1 year ago | next

      @CloudComputingChris, that's a great idea, and we have been considering this. Building a community around SpaceML and recognizing contributors is definitely something we want to embrace as part of our project.