{"url":"/dataset/cranfield-synthetic-drone-detection","name":"cranfield-synthetic-drone-detection","full_name":null,"description_markdown":"A fully synthetic dataset of drones generated using structured domain randomization. It contains multiple datasets generated using different styles: \r\n- Drones only\r\n- Drones and Birds\r\n- Generic Distractors \r\n- Realistic Distractors\r\n- Random Backgrounds\r\n\r\nThis was done to understand how different styles affect the sim-to-real translation of faster-rcnn models (full study is done in the paper)\r\n\r\nFurther, the bounds of the camera in relation to the drones is a simulation parameter that has a strong influence on the size of the generated drones in the dataset. To understand this relation, multiple datasets are generated, with different maximum camera bounds:\r\n- 20 m\r\n- 40 m\r\n- 80 m\r\n- 160 m\r\n- 320 m\r\nA study on how this affects transferability to real life datasets is conducted in the paper.","description_withheld":null,"homepage":"","introduced_date":"2024-11-13","introduced_date_note":null,"introduced_by":{"paper":"/paper/drone-detection-using-deep-neural-networks","title":"Drone Detection using Deep Neural Networks Trained on Pure Synthetic Data","first_author":"Mariusz Wisniewski","url":null},"license":{"name":"cc-by-4.0","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":"Segmentation","url":"/task/segmentation","datasets_with_task":"/datasets/task/segmentation"}],"languages":[],"variants":["cranfield-synthetic-drone-detection"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}