---
dataset_info:
  features:
  - name: image_id
    dtype: int64
  - name: image
    dtype: image
  - name: width
    dtype: int32
  - name: height
    dtype: int32
  - name: objects
    list:
    - name: category_id
      dtype:
        class_label:
          names:
            '0': leukocyte
    - name: image_id
      dtype: string
    - name: id
      dtype: int64
    - name: area
      dtype: int64
    - name: bbox
      sequence: float32
      length: 4
    - name: segmentation
      list:
        list: float32
    - name: iscrowd
      dtype: bool
  splits:
  - name: train
    num_bytes: 1867521478.0
    num_examples: 966
  - name: val
    num_bytes: 196591278.0
    num_examples: 100
  - name: test
    num_bytes: 185463746.0
    num_examples: 95
  download_size: 0
  dataset_size: 2249576502.0
task_categories:
- object-detection
tags:
- histopathology
- leukocytes
---
# Dataset Card for "cd45rb_leukocytes_subdataset"

Citation:
Daisuke Komura, Takumi Onoyama, Koki Shinbo, Hiroto Odaka, Minako Hayakawa, Mieko Ochi, Ranny Rahaningrum Herdiantoputri, Haruya Endo, Hiroto Katoh, Tohru Ikeda, Tetsuo Ushiku, Shumpei Ishikawa,
Restaining-based annotation for cancer histology segmentation to overcome annotation-related limitations among pathologists, Patterns, Volume 4, Issue 2, 2023, 100688, https://doi.org/10.1016/j.patter.2023.100688.

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