SpaceNet 1 (SpaceNet 1: Building Detection v1)
Introduced by Etten et al. in SpaceNet: A Remote Sensing Dataset and Challenge Series
SpaceNet 1: Building Detection v1 is a dataset for building footprint detection. The data is comprised of 382,534 building footprints, covering an area of 2,544 sq. km of 3/8 band WorldView-2 imagery (0.5 m pixel res.) across the city of Rio de Janeiro, Brazil. The images are processed as 200m×200m tiles with associated building footprint vectors for training.
The main use case for the detection of building footprints from satellite imagery is to aid foundational mapping.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
|---|---|---|---|---|---|
|
SpaceNet 1
|
MAE+MTP
|
|||
|
SpaceNet 1
|
YOLT
|
Papers
| Paper | Code | Results | Date | Stars |
|---|
