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RoboSat is an end-to-end pipeline written in Python 3 for feature extraction from aerial and satellite imagery. Features can be anything visually distinguishable in the imagery for example: buildings, parking lots, roads, or cars.
Features
- Data preparation: creating a dataset for training feature extraction models
- Training and modeling: segmentation models for feature extraction in images
- Post-processing: turning segmentation results into cleaned and simple geometries
- The data preparation tools help you with getting started creating a dataset for training feature extraction models
- The modelling tools help you with training fully convolutional neural nets for segmentation
- Documentation available
Project Samples
Categories
Machine LearningLicense
MIT LicenseFollow RoboSat
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