From DroneDeploy:
We’ve collected a dataset of aerial orthomosaics and elevation images. These have been annotated into 6 different classes: Ground, Water, Vegetation, Cars, Clutter, and Buildings. The resolution of the images is approximately 10cm per pixel which gives them a great level of detail. We’re looking forward to making more data available and encourage more research into the impact this imagery can have in furthering safety, conservation, and efficiency.
Image source: https://arxiv.org/pdf/2012.02024v1.pdf
Source: DroneDeploy Segmentation Benchmark Challenge
Image Source: title
Variants: DroneDeploy
This dataset is used in 1 benchmark:
| Task | Model | Paper | Date |
|---|---|---|---|
| Semantic Segmentation | DLv3+ (Xception65) | Aerial Imagery Pixel-level Segmentation | 2020-12-03 |
Recent papers with results on this dataset: