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introspection, Compilers, Languages, meaning

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Tonicย 
posted an update 41 minutes ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

Turns out : if we predict ๐ŸŒ earth we can save a lot of time looking for interesting things and less time looking at things that we expect to see.

Sentinel-2 imagery ๐Ÿ›ฐ๏ธbasically takes a long time to download towards earth. so our "near real time" systems are quite far from that in practical terms.

meanwhile , if we "predict" what we will see , based on what we do see , we can send down much less data in a timely way , and prioritize ๐Ÿ“กearth-bound response .

I'm talking about illegal fishing , logging , mining or building in nature reserves , the more of that we predict early the more we're able to stop it on time.

At least that's the concept !

check out the blog : https://huggingface.co/blog/Tonic/save-patagonia-by-predicting-earth


- Collection: https://huggingface.co/collections/NuTonic/earth-observation-with-temporal-and-general-understanding
- Code: https://github.com/Josephrp/Nutonic
- Dataset: NuTonic/sat-vl-sft-training-ready-v1
- Model: NuTonic/lspace
- Training: NuTonic/lspace-trackio
- Evals: NuTonic/Patagonia_Eval
Tonicย 
posted an update 16 days ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks,

since everyone liked my previous announcement post ( https://huggingface.co/posts/Tonic/338509028435394 ) so much , i'm back with more high quality proceedural datasets in the Geospacial domain for SFT training !

Check this one out :
NuTonic/sat-bbox-metadata-sft-v1

the goal is to be able to train vision models on multiple images for remote sensing analysis with one shot .

hope you like it ! ๐Ÿš€
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Tonicย 
posted an update 21 days ago
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๐Ÿ™‹๐Ÿปโ€โ™‚๏ธ Hey there folks ,

I'm sharing huggingface's largest dataset of annotated statelite images today.

check it out here : NuTonic/sat-image-boundingbox-sft-full

I hope you like it , the idea is to be able to use this with small vision models ๐Ÿš€
h4ย 
updated a dataset about 2 months ago