This dataset provides high-resolution satellite imagery collected via drones in the Kenol section of Murang'a, Kenya. The dataset includes both raw drone imagery and labeled imagery intended for building footprint and field boundary segmentation tasks.
The dataset is structured in Cloud Optimized GeoTIFF format, which enables efficient access to large geospatial datasets over the web.
The dataset is suitable for training and evaluating models for field boundary and building footprint segmentation tasks. The labels are provided in the Labels directory, with building footprints labeled with a class value of 1, and field boundaries labeled with a class value of 2.
In the case where building footprint is within field boundary, it has a class value of 3.
Every other item not either of the two has a class value of 0.
This dataset is provided under the Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0). Please read the LICENSE file for more details.
This dataset can be dowloaded via the ACCESS DATA tab. Labels can be found within the labels sub-directory and imagery can be found within the imagery sub-directory
If you find this dataset useful in your work, please consider citing it: