{"url":"/dataset/raw-microscopy-and-raw-drone","name":"Raw-Microscopy and Raw-Drone","full_name":null,"description_markdown":"Raw-Microscopy:\r\n\r\n940 raw bright-field microscopy images of human blood smear slides for leukocyte classification (microscopy/images/raw_scale100) with corresponding labels (microscopy/labels).\r\n5,640 variations measured at six additional different intensities (microscopy/images/raw_scale001-raw_scale0075)\r\n11,280 images of the raw sensor data processed through twelve different pipelines (microscopy/images/processed_views)\r\nRaw-Drone:\r\n\r\n548 raw drone camera images for car segmentation (drone/images_tiles_256/raw_scale100) with corresponding binary segmentation mask (drone/masks_tiles_256). The images and the masks are cropped from 12 raw drone camera images (drone/images_full/raw_scale100) and 12 masks (drone/masks_full) of size 3648 by 5472.\r\n3,288 variations measured at six additional different intensities (drone/images_tiles_256/raw_scale001-raw_scale075).\r\n6,576 images of the raw sensor data processed through twelve different pipelines (drone/images_tiles_256/processed_views).\r\nDetailed datasheets for the two datasets can be found in the appendices of https://arxiv.org/abs/2211.02578.","description_withheld":null,"homepage":"https://zenodo.org/record/5235536","introduced_date":"2022-11-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/data-models-for-dataset-drift-controls-in","title":"Data Models for Dataset Drift Controls in Machine Learning With Optical Images","first_author":"Luis Oala","url":null},"license":{"name":"Creative Commons Attribution 4.0 International","url":"https://creativecommons.org/licenses/by/4.0/legalcode"},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Classification","url":"/task/classification-1","datasets_with_task":"/datasets/task/classification-1"},{"name":"Image Segmentation","url":"/task/image-segmentation","datasets_with_task":"/datasets/task/image-segmentation"},{"name":"Blood Cell Detection","url":"/task/blood-cell-detection","datasets_with_task":"/datasets/task/blood-cell-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Raw-Microscopy and Raw-Drone"],"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":"2026-09-25T09:33:49+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."}