#segmentanything — Public Fediverse posts

Review of the QGIS GeoAI plugin

https://videos.qwast-gis.com/w/7AErmuFVuMvnG4wGk3EYtJ

I'd love to work on shows where SAM2 is good enough. But we have actors with fine hair detail and the comps need to survive 4K inspection so.... Indian roto vendors it is :-/

https://floss.social/@kdenlive/114416926889657357

There's a #SegmentAnything toolset for #Nuke: https://github.com/Theo-SAMINADIN-td/NukeSamurai

It works but the lack of temporal stability makes it break down when actors are not moving. All the cool test footage is people running or objects moving around which is much more forgiving.

#segmentanything #Cloisonismus

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

Video series and article coming soon leveraging the brilliant Segment Geospatial to create a workflow for effectively creating mask datasets for training a U-Net model #SegmentAnything #Meta #GIS #GISChat #technology

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

Segment-geospatial v0.9.1 is out. It now supports segmenting remote sensing imagery with the High-Quality Segment Anything Model (HQ-SAM)

Video: https://youtu.be/n-FZzKirE9I
Notebook: https://samgeo.gishub.org/examples/input_prompts_hq
GitHub: https://github.com/opengeos/segment-geospatial

#segmentanything #geospatial #deeplearning

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

The recording of my presentation at the TensorFlow Working Group at SERVIR

Title: Automated Segmentation of Remote Sensing Imagery with the Segment Anything Model
Video: https://www.youtube.com/watch?v=45NpHeq1X6I
Slides: https://bit.ly/TFWG
GitHub: https://github.com/opengeos/segment-geospatial

#segmentanything #geospatial #opensource #SERVIR

Segment-geospatial v0.9.0 is out📢It 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

ما كنت لأرى نفسي أذكر عملاً لزكربيرق بخير، إلا أن القدر شاء أن يعمل فريق المطورين لشركة #ميتا (#meta) على نماذج #ذكاء_اصطناعي لغوية ومرئية مفتوحة المصدر، كانت سبباً مباشراً لظهور العديد من التقنيات والنماذج والخدمات المبنية عليها وهي نماذج:
- #ان_ال_ال_بي #NLLB
- #لاما #LLaMA
- #سيقمنت_انيثنق #SegmentAnything
وجميعها نماذج متقدمة تقنياً بالرغم من أن الذكاء الاصطناعي ليس توكيد ميتا الأساسي.