hi Building Foot Print Extraction: Round 2 | SpaceNet on AWS

SpaceNet Round 2 Challenge Implementations

The Problem

The commercialization of the geospatial industry has led to an explosive amount of data being collected to characterize our changing planet. One area for innovation is the application of computer vision and deep learning to extract information from satellite imagery at scale. CosmiQ Works, DigitalGlobe and NVIDIA have partnered to release the SpaceNet data set to the public to enable developers and data scientists.

Today, map features such as roads, building footprints, and points of interest are primarily created through manual techniques. We believe that advancing automated feature extraction techniques will serve important downstream uses of map data including humanitarian and disaster response, as recently observed by the need to map buildings in Haiti during the response to Hurricane Matthew. Furthermore, we think that solving this challenge is an important stepping stone to unleashing the power of advanced computer vision algorithms applied to a variety of remote sensing data applications in both the public and private sector. For more information see the SpaceNet Challenge Round 2 Competition Page

Prize List

Prize USD
1st $6,000
2nd $3,000
3rd $1,500
Best F-score, Las Vegas $1,000
Best F-score, Paris $1,000
Best F-score, Shanghai $1,000
Best F-score, Khartoum $1,000
Early Incentive $1000
Total Prizes $15,500

The Metric

In SpaceNet Challenge, the metric for ranking entries is based on the Jaccard Index, also called the Intersection-over-Union (IoU). For more information read the full article on The DownlinQ.

Winning solutions:

The top three solutions have been open sourced at the SpaceNet Challenge Github Repository

Competitor Final Score
1. XD_XD 0.687740
2. wleite 0.642982
3. nofto 0.579014

Click Here For the full leaderboard and submission history

The Data

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 765 710,960

For Round 2 results please see the Round 1 Site