Re:IBM and NASA Open Source Largest Geospatial AI Foundation...
by mistrial9 on Thursday August 03, 2023 @02:21PM
(#36989654)
there is a big market for synthetically-generated (fake) imagery, you will be OK
Re:IBM and NASA Open Source Largest Geospatial AI Foundation...
by jafo1989 on Thursday August 03, 2023 @02:34PM
(#36989829)
I'm interested. Are your models open sourced like the IBM model, and are they easily accessible on HuggingFace?
Re:IBM and NASA Open Source Largest Geospatial AI Foundation...
by ritwikgupta on Thursday August 03, 2023 @04:43PM
(#36991553)
They are open sourced (code and weights) [0], but not accessible on HuggingFace.
Re:IBM and NASA Open Source Largest Geospatial AI Foundation...
by jafo1989 on Thursday August 03, 2023 @05:52PM
(#36992513)
You might want to think about adding them to HuggingFace, and making them HuggingFace API compliant to lower the barrier to entry.
The IBM offering is appealing not because it is "first" or the "best", but because it is accessible. A lot of institutions / enterprises (including my own) are able to leverage transformer models because HF has done so much to lower the barrier to entry with their hub, documentation (model cards) and API.
How else would I have found your models but for an IBM press release?
Re:IBM and NASA Open Source Largest Geospatial AI Foundation...
by RosanaAnaDana on Thursday August 03, 2023 @04:03PM
(#36991022)
If the models aren't available in a repo for download do they actually exist?
There are larger foundation models for geospatial imagery available. Our pre-training method, Scale-MAE [0], has 323M parameters, makes encoders robust to changes in satellite imagery resolution, and is therefore trained on satellite imagery of all resolutions. Work out of SI Analytics [1] presents a 2.4B parameter transformers for satellite imagery.
[0] https://arxiv.org/abs/2212.14532
[1] https://arxiv.org/abs/2304.05215