Dymaxion LabsGet the code
What is it?
It is a Python package, a deep-learning model for semantic segmentation based on the U-Net architecture. It is suitable for any use case where you want to delimit the outline of an object of interest. It is specially tuned for multispectral satellite, aerial, and drone images of different spatial resolutions.
Why was it developed?
To facilitate the task of preparing the data and training a machine learning model that can capture satellite images of different areas through drones of other spatial resolutions.
Why are we sharing it?
The purpose is to share the development of the code in an open way, which allows other institutions, entities, or cities, to modify, study or provide information in addition to having the source code at their disposal.
Have you reused or are you thinking of reusing this tool?
Email us at email@example.com and request an exclusive “tool reuse badge” from the IDB.
Have you participated in the implementation workshop of this tool?
The attendees (live or through our YouTube channel) who send the results of the exercises of our workshops to the email firstname.lastname@example.org will receive the badge by email within a week. To request a new credential submission, please contact: email@example.com.