robmarkcole/satellite-image-deep-learning

Techniques for deep learning with satellite & aerial imagery

pythonmachine-learningdeep-neural-networksdeep-learningtensorflowkeraspytorchsentineldatasetremote-sensingimage-classificationconvolutional-neural-networksobject-detectionsatellite-imagerydatasetssatellite-dataearth-observationsatellite-images
This is stars and forks stats for /robmarkcole/satellite-image-deep-learning repository. As of 26 Apr, 2024 this repository has 6941 stars and 1240 forks.

Techniques for deep learning on satellite and aerial imagery. 👉 satellite-image-deep-learning.com 👈 Introduction Deep learning has transformed the way satellite and aerial images are analyzed and interpreted. These images pose unique challenges, such as large sizes and diverse object classes, which offer opportunities for deep learning researchers. This repository offers a comprehensive overview of various deep learning techniques for analyzing satellite and aerial imagery, including architectures,...
Read on GithubGithub Stats Page
repotechsstarsweeklyforksweekly
realpython/python-guideBatchfileMakefile26.8k+226k+4
friendlyanon/cmake-initCMakePythonC1.4k+11560
IntelPython/mkl-serviceCythonPythonC620310
materialsproject/pymatgenPythonCython1.2k+27640
apache/arrow-datafusionRustOther4.1k07410
metarank/metarankScalaOther1.9k0720
ybayle/awesome-deep-learning-musicTeXPython2.6k03380
OSGeo/gdalC++PythonC4.1k02.2k0
deepjavalibrary/djlJavaC++Jupyter Notebook3.5k06010
NVlabs/sionnaJupyter NotebookPython47801320