{"url":"/dataset/aider","name":"AIDER","full_name":null,"description_markdown":"Dataset aimed to do automated aerial scene classification of disaster events from on-board a UAV.\r\n\r\nSource: [Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles](/paper/deep-learning-based-aerial-image)","description_withheld":null,"homepage":"https://zenodo.org/record/3888300","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/deep-learning-based-aerial-image","title":"Deep-Learning-Based Aerial Image Classification for Emergency Response Applications Using Unmanned Aerial Vehicles","first_author":"Christos Kyrkou","url":null},"license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Scene Classification","url":"/task/scene-classification","datasets_with_task":"/datasets/task/scene-classification"}],"languages":[],"variants":["AIDER"],"data_loaders":[],"num_papers_in_archive":8,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/image-classification-on-aider","task":"Image Classification","dataset_variant":"AIDER","rows":1,"metrics":["Test F1 score"],"first_row_in_archive_order":{"model":"TakuNet FP=16","paper":"/paper/takunet-an-energy-efficient-cnn-for-real-time","metrics":{"Test F1 score":"0.943"},"code_links":[{"title":"danielrossi1/takunet","url":"https://github.com/danielrossi1/takunet"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/takunet-an-energy-efficient-cnn-for-real-time","title":"TakuNet: an Energy-Efficient CNN for Real-Time Inference on Embedded UAV systems in Emergency Response Scenarios","date":"2025-01-10","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."}