README.md

metadata

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: 35879463408.88
      num_examples: 18421
    - name: valid
      num_bytes: 3475442128.938
      num_examples: 1781
    - name: test
      num_bytes: 4074586864.944
      num_examples: 2116
  download_size: 43275144782
  dataset_size: 43429492402.762
license: cc-by-sa-4.0
task_categories:
  - object-detection

Non-commercial usage only!

Data source Komura, D. (2022). Large-scale annotation dataset for cell/tissue segmentation in H&E-stained images : anti-CD45RB (leukocytes) [Data set]. In Patterns (0.3, Vol. 4, Number 2, p. 100688). Zenodo. https://doi.org/10.5281/zenodo.7412739