ĥ50k building footprints & 4 damage scale categories, 20 global locations and 7 disaster types (wildfire, landslides, dam collapses, volcanic eruptions, earthquakes/tsunamis, wind, flooding), Worldview-3 imagery (0.3m res.), pre-trained baseline model. XView 2 Building Damage Asessment Challenge (DIUx, Nov 2019). Spacenet Challenge Round 6 - Multi-Sensor All Weather Mapping (CosmiQ Works, Capella Space, Maxar, AWS, Intel, Feb 2020)Ĥ8k building footprints (enhanced 3DBAG dataset, building height attributes), Capella Space SAR data (0.5m res., four polarizations) & Worldview-3 imagery (0.3m res.), Rotterdam, Netherlands. 2020Īgriculture-Vision Database & CVPR 2020 challenge (UIUC,Īgricultural Pattern Analysis, 21k aerial farmland images (RGB-NIR, USA, 2019 season, 512x512px chips), label masks for 6 field anomaly patterns (Cloud shadow, Double plant, Planter skip, Standing Water, Waterway and Weed cluster). Synthetic (630k planes, 50k images) and real (14.7k planes, 253 Worldview-3 images (0.3m res.), 122 locations, 22 countries) plane annotations & properties and satellite images. RarePlanes: Synthetic Data Takes Flight (CosmiQ Works, A.I.Reverie, June 2020) res) timeseries for 2 years, 100 locations around the globe, for building footprint evolution & address propagation. Monthly building footprints and Planet imagery (4m. SpaceNet 7: Multi-Temporal Urban Development Challenge (CosmiQ Works, Planet, Aug 2020) Recent additions and ongoing competitions
Newest datasets at the top of each category (Instance segmentation, object detection, semantic segmentation, scene classification, other). List of aerial and satellite imagery datasets with annotations for computer vision and deep learning. List of satellite image training datasets with annotations for computer vision and deep learningĬhrieke/awesome-satellite-imagery-datasets