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Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
No description.
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
GeoAI: Artificial Intelligence for Geospatial Data
Project Page for "LISA: Reasoning Segmentation via Large Language Model"
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
3D medical imaging reconstruction software
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Unicode text processing for the Zig programming language.
Crop/Weed Field Image Dataset
Lemons quality control dataset
A tool for running deep learning algorithms for semantic segmentation with satellite imagery
Segment Anything in QGIS: click an object to get its outline, or name what you want (buildings, solar panels, trees) and get every match as vector polygons. QGIS plugin by TerraLab, free tier, no GPU needed.
A Zig native Unicode (v18) engine: UTF-8/16/32, normalization, segmentation, unicode properties, bidi, collation (DUCET)