the main objective of this challenge is to segment images acquired by a small UAV (sUAV) in the area of Houston, Texas. These images were acquired to assess the damages on residential and public properties after Hurricane Harvey. In total, there are 25 categories of segments (e.g., roof, trees, pools etc.)
The following classes are present
0: Background 1: Property Roof 2: Secondary Structure 3: Swimming Pool 4: Vehicle 5: Grass 6: Trees / Shrubs 7: Solar Panels 8: Chimney 9: Street Light 10: Window 11: Satellite Antenna 12: Garbage Bins 13: Trampoline 14: Road/Highway 15: Under Construction / In Progress Status 16: Power Lines & Cables 17: Water Tank / Oil Tank 18: Parking Area - Commercial 19: Sports Complex / Arena 20: Industrial Site 21: Dense Vegetation / Forest 22: Water Body 23: Flooded 24: Boat
The dataset is hosted on Kaggle: Hurricane-Harvey-flood-damage-segmentation-dataset
