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Add Urban 3D Challenge
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Hirsh Goldberg
2018-05-16 17:01:05 -04:00
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@@ -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)
Semantic Segmentation (buildings), multiple city aois, aerial imagery (0.3m)