ml4eo-bootcamp-2021
Machine Learning for Earth Observation Training of Trainers Bootcamp (by radiantearth)
eo-learn
Earth observation processing framework for machine learning in Python (by sentinel-hub)
ml4eo-bootcamp-2021 | eo-learn | |
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1 | 7 | |
90 | 1,078 | |
- | 0.5% | |
0.0 | 8.1 | |
over 2 years ago | 8 days ago | |
Jupyter Notebook | Python | |
- | MIT License |
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.
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.
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.
eo-learn
Posts with mentions or reviews of eo-learn.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-11-05.
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What are examples of well-organized data science project that I can see on Github?
I like ours https://github.com/sentinel-hub/eo-learn but of course I am biased
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Machine Learning free courses online for earth science - suggestions?
Sentinel Hub's eo-learn
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World Mosaic Time-lapse 2020 [3020 × 1510] [OC]
Overall description of used tools: - python: eo-learn and sentinelhub-py - gdal for GIS related stuff - ray for cluster computing
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Transitioning from NLP to satellite and image based CV
If you are joining a not small company they probably already have this, but an example is https://github.com/sentinel-hub/eo-learn which is specific to a certain set of satellite data products.
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Land Cover Classification of Istanbul, Turkey [4965x 2512]
Yes, `eo-learn` is just a collection of the existing tools you mention, which harmonizes the workflow for a specific task. Feel free to open ticket on eo-learn github if you have any questions! :)
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[OC] Vegetation of Africa 2019
* Python packages [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) and [eo-learn](https://github.com/sentinel-hub/eo-learn)
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[OC] Earth in a year (2019 True-Color Sentinel-2 L2A data)
Tools: - Python packages sentinelhub-py and eo-learn - GDAL 3.2
What are some alternatives?
When comparing ml4eo-bootcamp-2021 and eo-learn 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
gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.