{"url":"/dataset/raise-lpbf","name":"RAISE-LPBF","full_name":null,"description_markdown":"Laser powder bed fusion (LBPF) is the additive manufacturing (3D printing) process for metals.  RAISE-LPBF is a large dataset on the effect of laser power and laser dot speed in 316L stainless steel bulk material. Both process parameters are independently sampled for each scan line from a continuous distribution, so interactions of different parameter choices can be investigated. Process monitoring comprises on-axis high-speed (20k FPS) video. The data can be used to derive statistical properties of LPBF, as well as to build anomaly detectors. \r\n\r\nRAISE-LPBF-Laser is the machine learning benchmark to reconstruct the laser parameters of the RAISE-LBPF dataset.\r\n\r\nPaper:  https://doi.org/10.1016/j.addlet.2023.100161","description_withheld":null,"homepage":"https://www.makebench.eu/","introduced_date":"2023-07-07","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC 4.0","url":"https://creativecommons.org/licenses/by-nc/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Videos","url":"/datasets/modality/videos"},{"name":"Physics","url":"/datasets/modality/physics"}],"tasks":[{"name":"Video Classification","url":"/task/video-classification","datasets_with_task":"/datasets/task/video-classification"},{"name":"Video Recognition","url":"/task/video-recognition","datasets_with_task":"/datasets/task/video-recognition"}],"languages":[],"variants":["RAISE-LPBF"],"data_loaders":[],"num_papers_in_archive":0,"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."}