awesome-satellite-imagery-datasets
labelme2coco
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| awesome-satellite-imagery-datasets | labelme2coco | |
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| 6 | 1 | |
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| MIT License | GNU General Public License v3.0 only |
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awesome-satellite-imagery-datasets
- GIS data for a project. I apologize for the banality of my request and for my English.
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How can I learn remote sensing?
You can try doing the competitions on kaggle. Start with the older ones where you can read through the solutions other people posted and then try to come up with your own. Can also look for newer competitions and other open datasets here https://github.com/chrieke/awesome-satellite-imagery-datasets
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Identifying a Landing Zone Project, Where to begin?
You can check this repo that lists a number of satellite imagery datasets and works that exploit them.
- Benchmark Data for Remote Sensing Image Classification
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Downloading the entire Earth's satellite imagery?
These crazy datasets for ML / AI projects
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Spatial Data Science
Satellite imagery object detection, there's loads of good quality open labelled datasets: https://github.com/chrieke/awesome-satellite-imagery-datasets
labelme2coco
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What's A Simple Custom Segmentation Pipeline?
I would also suggest labelme, it's pretty easy to use. Just type "labelme" in the shell after pip installing and you will see the GUI. There are tools to convert to coco format (like https://github.com/fcakyon/labelme2coco) if needed, for instance for Detectron2.
What are some alternatives?
techniques - Techniques for deep learning with satellite & aerial imagery
labelme - Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
tinyml-papers-and-projects - This is a list of interesting papers and projects about TinyML.
albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
Awesome_Satellite_Benchmark_Datasets - Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
bpycv - Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)
ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp
coco-viewer - Minimalistic COCO Dataset Viewer in Tkinter
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.
mmsegmentation - OpenMMLab Semantic Segmentation Toolbox and Benchmark.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
autogluon - Fast and Accurate ML in 3 Lines of Code