{"url":"/dataset/sensumsodf","name":"SensumSODF","full_name":"Sensum Solid Oral Dosage Forms","description_markdown":"Given the unavailability of real-world pharmaceutical inspection-domain datasets, we have created the Sensum Solid Oral Dosage Forms (SensumSODF) dataset intended for research and evaluation purposes.\r\n\r\nThe dataset consists of two main types of solid oral dosage forms:\r\n\r\n- capsule; non-translucent hard-shelled capsules with print, which are normally used for dry, powdered ingredients\r\n\r\n- softgel; translucent soft-shelled capsules, which are primarily used for oils and active ingredients which are dissolved or suspended in oil\r\n\r\nThe dataset consists of 836 defect-free and 153 defective examples of non-translucent hard-shelled capsules with a size of 192 × 320 pixels, and 846 defect-free and 345 defective examples of translucent soft-shelled capsules with a size of 144 × 144 pixels. Defective examples exhibit diverse defects such as cracks, dents, smudges, impurities, and air bubbles. Defective regions range from small to large structures and are hand-annotated by a pharmaceutical product inspection domain-expert. Annotations coarsely indicate the defective area on a given example, yet to some extent also include minor defect-free areas.\r\n\r\nDataset paper: [Detection of surface defects on pharmaceutical solid oral dosage forms with convolutional neural networks](https://link.springer.com/article/10.1007/s00521-021-06397-6)","description_withheld":null,"homepage":"https://www.sensum.eu/sensumsodf-dataset/","introduced_date":"2021-08-17","introduced_date_note":null,"introduced_by":null,"license":{"name":"CC BY-NC-SA 4.0","url":"https://creativecommons.org/licenses/by-nc-sa/4.0/"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Supervised Defect Detection","url":"/task/supervised-defect-detection","datasets_with_task":"/datasets/task/supervised-defect-detection"}],"languages":[],"variants":["SensumSODF"],"data_loaders":[],"num_papers_in_archive":3,"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."}