This is the Windows app named satellite-image-deep-learning whose latest release can be downloaded as Usedropdowns.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named satellite-image-deep-learning with OnWorks for free.
Follow these instructions in order to run this app:
- 1. Downloaded this application in your PC.
- 2. Enter in our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 3. Upload this application in such filemanager.
- 4. Start any OS OnWorks online emulator from this website, but better Windows online emulator.
- 5. From the OnWorks Windows OS you have just started, goto our file manager https://www.onworks.net/myfiles.php?username=XXXXX with the username that you want.
- 6. Download the application and install it.
- 7. Download Wine from your Linux distributions software repositories. Once installed, you can then double-click the app to run them with Wine. You can also try PlayOnLinux, a fancy interface over Wine that will help you install popular Windows programs and games.
Wine is a way to run Windows software on Linux, but with no Windows required. Wine is an open-source Windows compatibility layer that can run Windows programs directly on any Linux desktop. Essentially, Wine is trying to re-implement enough of Windows from scratch so that it can run all those Windows applications without actually needing Windows.
SCREENSHOTS:
satellite-image-deep-learning
DESCRIPTION:
This page lists resources for performing deep learning on satellite imagery. To a lesser extent classical Machine learning (e.g. random forests) are also discussed, as are classical image processing techniques. Note there is a huge volume of academic literature published on these topics, and this repository does not seek to index them all but rather list approachable resources with published code that will benefit both the research and developer communities. If you find this work useful please give it a star and consider sponsoring it. You can also follow me on Twitter and LinkedIn where I aim to post frequent updates on my new discoveries, and I have created a dedicated group on LinkedIn. I have also started a blog here and have published a post on the history of this repository called Dissecting the satellite-image-deep-learning repo.
Features
- Object detection with rotated bounding boxes
- Object detection enhanced by super resolution
- Autoencoders, dimensionality reduction, image embeddings & similarity search
- Self-supervised, unsupervised & contrastive learning
- Oil storage tank detection & oil spills
- Deep learning packages, frameworks & projects
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/satellite-image-deep-l.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.