awesome-satellite-imagery-datasets
tinyml-papers-and-projects
Our great sponsors
| awesome-satellite-imagery-datasets | tinyml-papers-and-projects | |
|---|---|---|
| 6 | 1 | |
| 2,810 | 662 | |
| - | - | |
| 4.9 | 5.5 | |
| almost 2 years ago | 7 months ago | |
| MIT License | MIT License |
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-imagery-datasets
- GIS data for a project. I apologize for the banality of my request and for my English.
-
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
-
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
-
Downloading the entire Earth's satellite imagery?
These crazy datasets for ML / AI projects
-
Spatial Data Science
Satellite imagery object detection, there's loads of good quality open labelled datasets: https://github.com/chrieke/awesome-satellite-imagery-datasets
tinyml-papers-and-projects
What are some alternatives?
techniques - Techniques for deep learning with satellite & aerial imagery
CVPR2024-Papers-with-Code - CVPR 2024 论文和开源项目合集
Awesome_Satellite_Benchmark_Datasets - Supplementary material for our paper "THERE IS NO DATA LIKE MORE DATA" is provided.
Awesome-Federated-Learning - FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai
ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp
applied-ml - 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
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.
labelme2coco - A lightweight package for converting your labelme annotations into COCO object detection format.
awesome-bigdata - A curated list of awesome big data frameworks, ressources and other awesomeness.
awesome-remote-sensing-change-detection - List of datasets, codes, and contests related to remote sensing change detection
awesome-autonomous-vehicles - Curated List of Self-Driving Cars and Autonomous Vehicles Resources
mask-rcnn - Mask-RCNN training and prediction in MATLAB for Instance Segmentation