{"url":"/dataset/leishmania-parasite-dataset","name":"Leishmania parasite dataset","full_name":null,"description_markdown":"This dataset includes sharp-blur pairs of Leishmania image, which is a protozoan parasite microscopy image dataset of Leishmania, obtained from the preserved slides stained with Giemsa. The paired blur-sharp images are acquired by employing a bright-field microscope (Olympus IX53) with 100× magnification oil immersion objectives.We first capture the sharp images as ground truth, then acquire its corresponding out-of-focus images. The extent and nature of defocusing are random along the optical axis, where the degree of out-of-focus is inconsistent from image-to-image. This dataset includes 764 in-focus and 764 corresponding out-of-focus images, where each image is composed of 2304 × 1728 pixels in 24-bit JPG format.","description_withheld":null,"homepage":"https://data.mendeley.com/datasets/m3jxgb54c9/4","introduced_date":"2022-04-26","introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Image Deblurring","url":"/task/image-deblurring","datasets_with_task":"/datasets/task/image-deblurring"},{"name":"Medical Image Generation","url":"/task/medical-image-generation","datasets_with_task":"/datasets/task/medical-image-generation"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Leishmania parasite dataset"],"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."}