Data Preparation for Satellite Machine Learning
Appears on
Quick read
Latest capture 2026-08-27 03:03
0 paths
Agent instructions and tool configuration found in this repository.
No config files detected.
7 observed captures since 2026-05-23. Observed captures are shown by default.
Stars from first capture +2
Observed captures only
All tracked data
Observed snapshots
Observed snapshots
Nearest indexed repositories by embedding similarity.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Use Mapbox GL JS to visualize data in a Python Jupyter notebook
A Python package for delineating nested surface depressions from digital elevation data.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
An open source library and framework for deep learning on satellite and aerial imagery.
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
