{"url":"/dataset/leukemiaattri","name":"LeukemiaAttri","full_name":null,"description_markdown":"The LeukemiaAttri dataset is a large-scale, multi-domain collection of microscopy images derived from leukemia patient samples, enriched with detailed morphological information. This dataset comprises a total of 28.9K images (2.4K × 2 × 3 × 2), which were captured using both low-cost and high-cost microscopes at three different resolutions: 10x, 40x, and 100x, utilizing various cameras.\r\nIn addition to providing location annotations for each white blood cell (WBC), the dataset includes comprehensive morphological attributes for every WBC, enhancing its utility for research and analysis in the field.\r\n\r\n\r\n\r\n| Sr. # | Dataset Name  | Microscope    | Resolution | Camera         | Image Count | WBC Count | Artifacts Count |\r\n|-------|---------------|---------------|------------|----------------|-------------|-----------|-----------------|\r\n| 1     | H_100x_C1    | Olympus CX23  | 100x       | Honor 9X Lite  | 2.4k       | 7.8k      | 2.5k            |\r\n| 2     | H_100x_C2    | Olympus CX23  | 100x       | HD1500T        | 2.4k       | 7.8k      | 2.5k            |\r\n| 3     | H_40x_C1     | Olympus CX23  | 40x        | Honor 9X Lite  | 2.4k       | 7.8k      | 2.5k            |\r\n| 4     | H_40x_C2     | Olympus CX23  | 40x        | HD1500T        | 2.4k       | 7.8k      | 2.5k            |\r\n| 5     | H_10x_C1     | Olympus CX23  | 10x        | Honor 9X Lite  | 2.4k       | 7.8k      | 2.5k            |\r\n| 6     | H_10x_C2     | Olympus CX23  | 10x        | HD1500T        | 2.4k       | 7.8k      | 2.5k            |\r\n| 7     | L_100x_C1    | XSZ_107BN     | 100x       | Honor 9X Lite  | 2.4k       | 4.8k      | 1.1k            |\r\n| 8     | L_100x_C2    | XSZ_107BN     | 100x       | ZZCAT-5MP      | 2.4k       | 4.8k      | 1.1k            |\r\n| 9     | L_40x_C1     | XSZ_107BN     | 40x        | Honor 9X Lite  | 2.4k       | 7.8k      | 2.5k            |\r\n| 10    | L_40x_C2     | XSZ_107BN     | 40x        | ZZCAT-5MP      | 2.4k       | 7.8k      | 2.5k            |\r\n| 11    | L_10x_C1     | XSZ_107BN     | 10x        | Honor 9X Lite  | 2.4k       | 7.8k      | 2.5k            |\r\n| 12    | L_10x_C2     | XSZ_107BN     | 10x        |  ZZCAT-5MP    | 2.4k       | 7.8k      | 2.5k            |\r\n|       | **Total Count** |               |            |                | **29k**     | **88.2k**  | **27.8k**       |","description_withheld":null,"homepage":"https://im.itu.edu.pk/medicalai-bloodcancerdataset-2024/","introduced_date":"2024-05-17","introduced_date_note":null,"introduced_by":{"paper":"/paper/a-large-scale-multi-domain-leukemia-dataset","title":"A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability","first_author":"Abdul Rehman","url":null},"license":null,"modalities":[{"name":"Images","url":"/datasets/modality/images"},{"name":"Biology","url":"/datasets/modality/biology"},{"name":"Biomedical","url":"/datasets/modality/biomedical"},{"name":"Medical","url":"/datasets/modality/medical"}],"tasks":[{"name":"Object Detection","url":"/task/object-detection","datasets_with_task":"/datasets/task/object-detection"},{"name":"Domain Adaptation","url":"/task/domain-adaptation","datasets_with_task":"/datasets/task/domain-adaptation"},{"name":"Weakly Supervised Object Detection","url":"/task/weakly-supervised-object-detection","datasets_with_task":"/datasets/task/weakly-supervised-object-detection"},{"name":"Object Counting","url":"/task/object-counting","datasets_with_task":"/datasets/task/object-counting"},{"name":"Unsupervised Object Detection","url":"/task/unsupervised-object-detection","datasets_with_task":"/datasets/task/unsupervised-object-detection"},{"name":"Cancer type classification","url":"/task/cancer-type-classification","datasets_with_task":"/datasets/task/cancer-type-classification"},{"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":["LeukemiaAttri"],"data_loaders":[],"num_papers_in_archive":2,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/domain-adaptation-on-leukemiaattri","task":"Domain Adaptation","dataset_variant":"LeukemiaAttri","rows":1,"metrics":["mAP"],"first_row_in_archive_order":{"model":"ConfMix [23] L_100x_C2","paper":"/paper/a-large-scale-multi-domain-leukemia-dataset","metrics":{"mAP":"33.5"},"code_links":[{"title":"intelligentMachines-ITU/Blood-Cancer-Dataset-Lukemia-Attri-MICCAI-2024","url":"https://github.com/intelligentMachines-ITU/Blood-Cancer-Dataset-Lukemia-Attri-MICCAI-2024"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"},{"leaderboard":"/sota/object-detection-on-leukemiaattri","task":"Object Detection","dataset_variant":"LeukemiaAttri","rows":1,"metrics":["mAP 50-95"],"first_row_in_archive_order":{"model":"AttriDet","paper":"/paper/a-large-scale-multi-domain-leukemia-dataset","metrics":{"mAP 50-95":"28.2"},"code_links":[{"title":"intelligentMachines-ITU/Blood-Cancer-Dataset-Lukemia-Attri-MICCAI-2024","url":"https://github.com/intelligentMachines-ITU/Blood-Cancer-Dataset-Lukemia-Attri-MICCAI-2024"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/a-large-scale-multi-domain-leukemia-dataset","title":"A Large-scale Multi Domain Leukemia Dataset for the White Blood Cells Detection with Morphological Attributes for Explainability","date":"2024-05-17","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"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."}