techniques
Techniques for deep learning with satellite & aerial imagery
Explore deep learning methods for analyzing satellite and aerial images, including classification and object detection techniques.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytimeTechniques for deep learning with satellite & aerial imagery
techniques has 10.2k stars on GitHub. It has been forked 1.6k times. It has been in active development since 2018. techniques is available under the Apache-2.0 license. Its main topics are convolutional-neural-networks, dataset, datasets, deep-learning.
What is techniques?
Techniques for deep learning with satellite & aerial imagery
Is techniques open source?
techniques is an open-source project. It is released under the Apache-2.0 license.
Is techniques free?
Yes. techniques is free and open source — you can use, modify and self-host it.
What license does techniques use?
techniques is available under the Apache-2.0 license.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/satellite-image-deep-learning-techniques.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.