Awesome_Satellite_Benchmark_Datasets
ml4eo-bootcamp-2021
Awesome_Satellite_Benchmark_Datasets | ml4eo-bootcamp-2021 | |
---|---|---|
1 | 1 | |
284 | 87 | |
- | - | |
4.0 | 0.0 | |
about 1 month ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Awesome_Satellite_Benchmark_Datasets
ml4eo-bootcamp-2021
What are some alternatives?
awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
eo-learn - Earth observation processing framework for machine learning in Python
lidar-harmonization - Code release for Intensity Harmonization for Airborne LiDAR
ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).
techniques - Techniques for deep learning with satellite & aerial imagery
awesome-gis - 😎Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
ee_repository_stats - Scraping, parsing, and analyzing every public Earth Engine repository
fastai - The fastai deep learning library