{"url":"/dataset/dacl10k","name":"dacl10k","full_name":"dacl10k: Dataset for Semantic Bridge Damage Segmentation","description_markdown":"dacl10k stands for damage classification 10k images and is a **multi-label semantic segmentation** dataset for **19 classes (13 damages and 6 objects)** present on bridges.\r\n\r\nThe dacl10k dataset includes images collected during concrete bridge inspections acquired from databases at authorities and engineering offices, thus, it represents real-world scenarios. Concrete bridges represent the most common building type, besides steel, steel composite, and wooden bridges.\r\n\r\n🏆 This dataset is used in the [challenge](https://eval.ai/web/challenges/challenge-page/2130/overview) associated with the \"[1st Workshop on Vision-Based Structural Inspections in Civil Engineering](https://dacl.ai/workshop.html)\" at [WACV2024](https://wacv2024.thecvf.com/workshops/).","description_withheld":null,"homepage":"https://dacl.ai/workshop.html","introduced_date":"2023-09-01","introduced_date_note":null,"introduced_by":{"paper":"/paper/dacl10k-benchmark-for-semantic-bridge-damage","title":"dacl10k: Benchmark for Semantic Bridge Damage Segmentation","first_author":"Johannes Flotzinger","url":null},"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Semantic Segmentation","url":"/task/semantic-segmentation","datasets_with_task":"/datasets/task/semantic-segmentation"},{"name":"Multi-Label Image Classification","url":"/task/multi-label-image-classification","datasets_with_task":"/datasets/task/multi-label-image-classification"}],"languages":[],"variants":["dacl10k"],"data_loaders":[{"repo":"https://github.com/phiyodr/dacl10k-toolkit","url":"https://github.com/phiyodr/dacl10k-toolkit#dacl10kdataset-torchutilsdatadataset","frameworks":["pytorch"]}],"num_papers_in_archive":2,"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."}