{"url":"/dataset/evd4uav","name":"EVD4UAV","full_name":null,"description_markdown":"VD4UAV is an altitude-sensitive benchmark dataset designed to evade vehicle detection in Unmanned Aerial Vehicle (UAV) imagery. This dataset is specifically curated to facilitate the study of adversarial patch-based vehicle detection attacks in UAV images. The EVD4UAV dataset comprises a diverse set of images captured at various altitudes with fine-grained annotations, making it a robust platform for evaluating the performance of object detectors under adversarial conditions. Notably, the dataset includes around 3,000 images depicting winter scenarios where vehicles may be partially or fully covered by snow, providing a unique challenge for vehicle detection algorithms.","description_withheld":null,"homepage":"https://github.com/HMS97/EVD4UAV","introduced_date":"2024-03-08","introduced_date_note":null,"introduced_by":{"paper":"/paper/evd4uav-an-altitude-sensitive-benchmark-to","title":"EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV","first_author":"Huiming Sun","url":null},"license":{"name":"MIT","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Image Segmentation","url":"/task/image-segmentation","datasets_with_task":"/datasets/task/image-segmentation"},{"name":"Small Object Detection","url":"/task/small-object-detection","datasets_with_task":"/datasets/task/small-object-detection"},{"name":"Oriented Object Detection","url":"/task/oriented-object-detection","datasets_with_task":"/datasets/task/oriented-object-detection"},{"name":"Oriented Object Detctio","url":"/task/oriented-object-detctio","datasets_with_task":"/datasets/task/oriented-object-detctio"}],"languages":[],"variants":["EVD4UAV"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-segmentation-on-evd4uav","task":"Image Segmentation","dataset_variant":"EVD4UAV","rows":1,"metrics":["Detection: Full (mAP@0.5)"],"first_row_in_archive_order":{"model":"yolov8x-seg","paper":"/paper/evd4uav-an-altitude-sensitive-benchmark-to","metrics":{"Detection: Full (mAP@0.5)":"96.19"},"code_links":[{"title":"hms97/evd4uav","url":"https://github.com/hms97/evd4uav"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-evd4uav","task":"Object Detection","dataset_variant":"EVD4UAV","rows":1,"metrics":["Detection: Full (mAP@0.5)"],"first_row_in_archive_order":{"model":"yolov8x-seg","paper":"/paper/evd4uav-an-altitude-sensitive-benchmark-to","metrics":{"Detection: Full (mAP@0.5)":"98.29"},"code_links":[{"title":"hms97/evd4uav","url":"https://github.com/hms97/evd4uav"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/evd4uav-an-altitude-sensitive-benchmark-to","title":"EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV","date":"2024-03-08","rows_on_this_dataset":2,"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."}