#segmentanything

Want to use Meta’s Segment Anything with #OpenSeadragon?
I finally wrote up a proper README for the #Annotorious plugin: https://github.com/annotorious/plugin-segment-anything Give it a try—and let me know what you build! #SegmentAnything #IIIF #Annotation

Wait... is that a new button in #IMMARKUS? Yes! Click the magic wand for automatic object selection, powered by #SegmentAnything. Just point, click, and let AI do the work! Try it out and let us know what you think. #DigitalHumanities #IIIF

Update: Smart object selection in zoomable images with #OpenSeadragon and #SegmentAnything! The next key challenge: Creating a seamless workflow—picking objects, refining shapes, and manually enhancing the outline. Stay tuned! #IMMARKUS #IIIF #DigitalHumanities #Maps

Next steps: #SegmentAnything in OpenSeadragon Sort of, at least. There's no way around the ~2s wait for viewport encoding. But it still feels bearable—especially given the huge speed-up for annotating complex shapes. Stay tuned!

Progress! Refine and extend areas by adding points to #SegmentAnything queries. Plus, polygon smoothing for cleaner annotation shapes. Next up: making it work in OpenSeadragon… #IMMARKUS #DigitalHumanities #Annotorious

Wow—this is #SegmentAnything 2 running *entirely* in the browser! With WebGPU (Chrome, Edge), generating embeddings took ~2s for a 1024x1024px region on my machine. No server required! #Annotation #DigitalHumanities #Maps #IIIF

I am honestly floored at the #SegmentAnything implementation for #ImageJ / #Fiji

Even running on a laptop, once loaded, it's incredibly quick.

Moreover, it's a super-simple install which is a major barrier to many #AI #DeepLearning implementations.

Time to play around with some #Microscopy and #DigitalPathology data!

Details here: https://github.com/segment-anything-models-java/SAMJ-IJ
Photo source: https://www.pexels.com/photo/photo-of-railway-on-mountain-near-houses-1658967/

"Segment Anything as a Service" shared our approach to making advanced AI tools accessible and enhancing workflows cost-effectively with the Segment Anything Model. #segmentanything #AI #machinelearning #geospatial
https://developmentseed.org/blog/2023-06-08-segment-anything-services

"Exploring the Potential of the Segment Anything Model" highlighted innovative strides in AI, pushing boundaries in data annotation and satellite imagery. #segmentanything #machinelearning #computervision
https://developmentseed.org/blog/2023-05-19-segment-anything-potential

I'm proud to have published my first scientific paper as preprint on arXiv! https://arxiv.org/abs/2310.08683

I investigated the use of augmented reality for reinforcement learning agents by integrating Meta Research's SAM (Segment Anything) zero-shot model into the RL training data pipeline. Like equipping a virtual entity (the RL agent) with AR goggles.

#datascience #machinelearning #artificialintelligence #augmentedreality #reinforcementlearning #arxiv #atari #videogame #metaresearch #segmentanything

Does anyone know of open source projects that use AI to segment orthorectified imagery and try to categorise bicycle paths or other cycling infrastructure, and check if they’re missing from OpenStreetMap?

I’m thinking of whether it would be possible to run Meta’s Segment Anything model over suitably licensed aerial imagery to find infra missing on OSM. Any thoughts/comments very welcome!

#openstreetmap #meta #segmentanything #ai #computervision #geospatial #gis #cycling #bikes #bicycles

Segment-geospatial v0.9.0 is outIt now supports segmenting remote sensing imagery with box prompts. You can create box prompts interactively or use existing vector data as box prompts

GitHub: https://github.com/opengeos/segment-geospatial
Notebook: https://samgeo.gishub.org/examples/box_prompts
Video tutorial: https://youtu.be/ayFgAj23BfI

#geospatial #segmentanything #deeplearning

DevSeed has now integrated DS-Annotate with the Segment Anything Model. This powerful tool enables swift and efficient annotation of map features, streamlining our processes significantly. This advancement wouldn't have been possible without our collaborative work with Ruben Mendoza, Ryan Avery, Wille Marcel, and Nick Ingalls.

#Geospatial #AI #Mapping #OSM #Sentinel2 #DevelopmentSeed #DSAnnotate #SegmentAnything #DataScience #osm #annotation #machinelearning #labeling #datateam #Meta #SAM #IA

Segment-geospatial v0.8.0 is out. New features include segmentating remote sensing imagery with text prompts interactively

Notebook: https://samgeo.gishub.org/examples/text_prompts
GitHub: https://github.com/opengeos/segment-geospatial
Video: https://youtu.be/cSDvuv1zRos

#geospatial #segmentanything

RT @giswqs segment-geospatial v0.6.0 sneak peek - Interactive #segmentation of #remotesensing #imagery without coding. Segmentation results can be saved as GeoTIFF and vector data formats

https://github.com/opengeos/segment-geospatial/pull/44

#geospatial #segmentanything #eo #gischat

Learn to segment your images with the Segment Anything Model (SAM) by Meta AI in just a few lines of #Python code! Check out my YouTube tutorial: https://youtu.be/fVeW9a6wItM
#imageSegmentation #MetaAI #segmentanything #microscopy

Wow - #SegmentAnything is pretty wild