[HN Gopher] IBM and NASA open-source largest geospatial AI found... ___________________________________________________________________ IBM and NASA open-source largest geospatial AI foundation model on Hugging Face Author : anigbrowl Score : 117 points Date : 2023-08-05 19:05 UTC (3 hours ago) (HTM) web link (newsroom.ibm.com) (TXT) w3m dump (newsroom.ibm.com) | pkdpic wrote: | In case anyone's wondering what the model does (like I was). | | > With additional fine tuning, the base model can be redeployed | for tasks like tracking deforestation, predicting crop yields, or | detecting and monitoring greenhouse gasses. IBM and NASA | researchers are also working with Clark University to adapt the | model for applications such as time-series segmentation and | similarity research. | version_five wrote: | Discussed two days ago, 296 points and 78 comments: | https://news.ycombinator.com/item?id=36985197 | Y_Y wrote: | [flagged] | hardware2win wrote: | Whats the deal about hf? | phero_cnstrcts wrote: | Dunno, but I'm not sure I like the name. | version_five wrote: | I don't like it, on one hand it's really sappy in a non- | endearing way, on the other, | https://avp.fandom.com/wiki/Facehugger (which incidentally is | probably some foreshadowing of the time when the VCs start | trying to get their returns) | | It's mildly embarrassing to have to refer to it in a | professional context. | kbutler wrote: | AI model-sharing platform, named after the emoji: | https://blog.emojipedia.org/emojiology-hugging-face/ | | (I don't know that I've ever attempted to paste an emoji into | HN before, and I'm rather glad to learn it strips them out, | though they're fine in other contexts.) | RosanaAnaDana wrote: | This is such a weird headline and dataset. It's not a very large | model, esp for geospatial. And the data set is microscopic, not | even 1k image tiles. | | A typical geospatial UNET would be trained on any where from 10x | to 100x this much data. | | This is more like a toy dataset I would give an intern to play | on. But to be clear, one would need much much much more data do | do something interesting on. Likewise, there are a lot of data | filtering and data processing considerations that come into play | with satellites like clouds, ascension or descenion, averaging to | try and get fewer clouds. Satellite and all remote sensing ML is | tricky stuff. ___________________________________________________________________ (page generated 2023-08-05 23:00 UTC)