Awesome_Satellite_Benchmark_Datasets VS ml4eo-bootcamp-2021

Compare Awesome_Satellite_Benchmark_Datasets vs ml4eo-bootcamp-2021 and see what are their differences.

ml4eo-bootcamp-2021

Machine Learning for Earth Observation Training of Trainers Bootcamp (by radiantearth)
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Awesome_Satellite_Benchmark_Datasets ml4eo-bootcamp-2021
1 1
284 87
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4.0 0.0
about 1 month ago over 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.

ml4eo-bootcamp-2021

Posts with mentions or reviews of ml4eo-bootcamp-2021. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-18.

What are some alternatives?

When comparing Awesome_Satellite_Benchmark_Datasets and ml4eo-bootcamp-2021 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

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