{"url":"/dataset/dronedeploy","name":"DroneDeploy","full_name":null,"description_markdown":"From DroneDeploy:\r\n\r\nWe’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.\r\n\r\nImage source: [https://arxiv.org/pdf/2012.02024v1.pdf](https://arxiv.org/pdf/2012.02024v1.pdf)\r\n\r\nSource: [DroneDeploy Segmentation Benchmark Challenge](https://www.dronedeploy.com/blog/dronedeploy-segmentation-benchmark-challenge/)\r\nImage Source: [title](url)","description_withheld":null,"homepage":"https://github.com/dronedeploy/dd-ml-segmentation-benchmark","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":{"name":"Unknown","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"}],"languages":[],"variants":["DroneDeploy"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/semantic-segmentation-on-dronedeploy","task":"Semantic Segmentation","dataset_variant":"DroneDeploy","rows":1,"metrics":["Mean IoU (test)","Mean IoU (val)"],"first_row_in_archive_order":{"model":"DLv3+ (Xception65)","paper":"/paper/aerial-imagery-pixel-level-segmentation","metrics":{"Mean IoU (test)":"52.5","Mean IoU (val)":"69.9"},"code_links":[{"title":"mrheffels/aerial-imagery-segmentation","url":"https://github.com/mrheffels/aerial-imagery-segmentation"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/aerial-imagery-pixel-level-segmentation","title":"Aerial Imagery Pixel-level Segmentation","date":"2020-12-03","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}