Adrien's starred repositories
remote_sensing_segmentation
Semantic segmentation for remote sensing images
UNet_keras_for_RSimage
This is a code of U-Net Semantic Segmentation for Remote Sensing Images,mainly for learning and communication
awesome-satellite-imagery-datasets
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
segment-geospatial
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
extract_water
Extract water from nIR imagery
awesome-earthobservation-code
A curated list of awesome tools, tutorials, code, projects, links, stuff about Earth Observation, Geospatial Satellite Imagery
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
techniques
Techniques for deep learning with satellite & aerial imagery
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
dl-semantic-segmentation
Deep-learning applied to semantic segmentation of remote sensing data
SemanticSegmentation_DL
Resources of semantic segmantation based on Deep Learning model
Label-Pixels
Label-Pixels is the tool for semantic segmentation of remote sensing images using Fully Convolutional Networks. Initially, it is designed for extracting the road network from remote sensing imagery and now, it can be used to extract different features from remote sensing imagery.
Python-Hydrology-Tools
:droplet: This repository holds a list of open source Python packages interesting to Hydrologists