Awesome_Satellite_Benchmark_Datasets VS ee_repository_stats

Compare Awesome_Satellite_Benchmark_Datasets vs ee_repository_stats and see what are their differences.

ee_repository_stats

Scraping, parsing, and analyzing every public Earth Engine repository (by aazuspan)
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Awesome_Satellite_Benchmark_Datasets ee_repository_stats
1 1
284 19
- -
4.0 0.0
about 1 month ago about 2 years ago
Jupyter Notebook Jupyter Notebook
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of Awesome_Satellite_Benchmark_Datasets. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-15.

ee_repository_stats

Posts with mentions or reviews of ee_repository_stats. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Awesome_Satellite_Benchmark_Datasets and ee_repository_stats you can also consider the following projects:

awesome-satellite-imagery-datasets - 🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools

lidar-harmonization - Code release for Intensity Harmonization for Airborne LiDAR

geospatial-data-catalogs - A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

ml-earth-observation-101 - An introduction to applying machine learning to satellite imagery (remote sensing).

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.

ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp

awesome-open-geoscience - Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome

QGIS - QGIS is a free, open source, cross platform (lin/win/mac) geographical information system (GIS)