[HN Gopher] Show HN: Moonshine - open-source, pretrained ML mode...
       ___________________________________________________________________
        
       Show HN: Moonshine - open-source, pretrained ML models for
       satellite
        
       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 non-starter. Moonshine includes models specifically
       trained for your remote sensing problems.  2. Focus on usability:
       There are academic releases of specialized models that do support
       remote sensing data, but often they are difficult to use. They
       might be hard to install, and often are supported by a grad student
       who is more focused on publication than software. A core tenant of
       Moonshine is that it should be easy to use.  I've been working on
       this project for nearly a year now and I'm really excited to show
       it off and most importantly get feedback! I have big plans for what
       to build in the future, but this set of features was the smallest
       one I could think of that would provide some value.  Docs:
       https://moonshineai.readthedocs.io/en/latest/index.html Github:
       https://github.com/moonshinelabs-ai/moonshine
        
       Author : nharada
       Score  : 29 points
       Date   : 2023-03-22 14:18 UTC (8 hours ago)
        
 (HTM) web link (moonshineai.readthedocs.io)
 (TXT) w3m dump (moonshineai.readthedocs.io)
        
       | mistrial9 wrote:
       | How can this get to World Wildlife Fund and other non-specialists
       | doing environmental work ? add new publicity (check!) .. other
       | ways?
        
         | nharada wrote:
         | That's a great question -- I'd really love to get this in the
         | hands of people doing good and necessary work on shoe-string
         | budgets. Non-profits, university researchers, climate modeling,
         | etc.
         | 
         | If you're in one of those areas, I have a Slack[1] that you can
         | join to get help or ask questions. You can also just email me
         | if you'd like at nate[at]moonshinelabs.ai and I'd love to talk!
         | 
         | [1]
         | https://join.slack.com/t/moonshinecommunity/shared_invite/zt...
        
       | tectonic wrote:
       | You should definitely submit this to
       | https://github.com/orbitalindex/awesome-space#earth!
        
         | nharada wrote:
         | Good idea! I made a pull request. Really cool list of
         | resources!
        
       | zecken wrote:
       | Wow this seems really useful! Is it bad the first thing I think
       | when I see this is how a nefarious government can use it with bad
       | intentions?
        
       ___________________________________________________________________
       (page generated 2023-03-22 23:01 UTC)