From dd3e9c245ea22d92bb12c2bc7985d9285ca944c1 Mon Sep 17 00:00:00 2001 From: Hirsh Goldberg Date: Wed, 16 May 2018 17:01:05 -0400 Subject: [PATCH] Update README.md Add Urban 3D Challenge --- README.md | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index a7b0ea4..36a96e7 100644 --- a/README.md +++ b/README.md @@ -28,6 +28,9 @@ Image Recognition (Predict if image chip contains ship or iceberg), 2-band HH/HV - [**Functional Map of the World Challenge**](https://www.iarpa.gov/challenges/fmow.html) *(IARPA, Dec 2017)* Object Detection (63 categories), 1 million instances, 4/8 band, COCO data format, baseline algorithms +- [**Urban 3D Challenge**](https://www.topcoder.com/urban3d) *(USSOCOM, Dec 2017)* +Building footprint detection, 50cm 2D RGB ortho photos and 3D data generated from satellite imagery, 3 cities, open source software for winning solutions, data hosted on SpaceNet Challenge Asset Library + - [**NIST DSE Plant Identification with NEON Remote Sensing Data**](https://www.ecodse.org) *(inria.fr, Oct 2017)* Extraction of tree position, species and crown parameters, Hyperspectral (1m), RGB imagery (0.25m), LiDAR point cloud and canopy height model @@ -50,4 +53,4 @@ Development of a Multi-View Stereo (MVS) 3D mapping algorithm that can convert h Predict the chronological order of images taken at the same locations over 5 days, Kaggle kernels - [**Inria Aerial Image Labeling**](https://project.inria.fr/aerialimagelabeling/contest/) *(inria.fr)* -Semantic Segmentation (buildings), multiple city aois, aerial imagery (0.3m) \ No newline at end of file +Semantic Segmentation (buildings), multiple city aois, aerial imagery (0.3m)