rajesh
Nov. 5, 2020
Description:
The commercialisation of the geo-spatial industry has led to an explosive amount of data being collected to characterise our changing planet. One area for innovation is the application of computer vision and deep learning to extract information from satellite imagery at scale.
The Data - Over 685,000 footprints across the Five SpaceNet Areas of Interest.
| AOI | Area of Raster (Sq. Km) | Building Labels (Polygons) |
|---|---|---|
| AOI_2_Vegas | 216 | 151,367 |
| AOI_3_Paris | 1,030 | 23,816 |
| AOI_4_Shanghai | 1,000 | 92,015 |
| AOI_5_Khartoum | 765 | 35,503 |
Released Under: CC-BY-SA (Attribution, Share-Alike)
Price: FREE