spousty

3 ms·

1. 1.▲
   by spousty 3y ago

   Oh so did you run the CNN on pre-classified data
2. 2.▲
   by spousty 3y ago

   It's due to the fact that they used satellite imagery to create the embeddings. The map is just for visualization. They probably used 5 or more bands of the satellite data which means each pixel is going to be slightly different due to
3. 3.▲
   by spousty 3y ago

   How did you generate the embeddings. The vectors are relatively small for all the embedding I have seen built from image and nlp models. Which copernicus bands were you using? Did you augment the data with DEM info?
4. 4.▲
   by spousty 5y ago

   Is there is a Github repo for this?
5. 5.▲
   by spousty 6y ago

   Should be fixed now - thanks!
6. 6.▲
   by spousty 6y ago

   Thanks for the this great information. In the hands on tutorial linked in the article I address some of these constraints you talk about.
7. 7.▲
   by spousty 6y ago

   Thanks for the feedback. I think the article was really trying to whet people's appetite for the hands on tutorial linked in the article. I wrote the blog post just to give people enough to: 1. Know they can actually store, query, and
8. 8.▲
   by spousty 6y ago

   I guess PostgreSQL doesn't do everything for me :D Thanks for catching those and I will be updating the post soon. Did you get a chance to try the hands on exercise?