metadata

language:
  - en
size_categories:
  - 10K<n<100K
task_categories:
  - object-detection
pretty_name: BF Microscopy SCC
dataset_info:
  features:
    - name: image
      dtype: image
    - name: label
      dtype:
        class_label:
          names:
            '0': test
            '1': train
            '2': val
    - name: width
      dtype: int64
    - name: height
      dtype: int64
    - name: objects
      struct:
        - name: bbox
          sequence:
            sequence: float64
        - name: categories
          sequence: int64
    - name: well_edge
      dtype: bool
  splits:
    - name: train
      num_bytes: 6536105243.092
      num_examples: 27161
    - name: validation
      num_bytes: 790399669.192
      num_examples: 3302
    - name: test
      num_bytes: 377694309.42
      num_examples: 1580
  download_size: 7699271022
  dataset_size: 7704199221.704
configs:
  - config_name: default
    data_files:
      - split: train
        path: data/train-*
      - split: validation
        path: data/validation-*
      - split: test
        path: data/test-*
tags:
  - biology

Brightfield Microscopy SCC Dataset

Dataset Description

The Brightfield Microscopy SCC Dataset contains brightfield microscopy images that have been sliced from 4K resolution images. The cells in the images are labeled with bounding boxes. This dataset is used for training unconditional diffusion models and cell detection models.

Dataset Structure

The dataset is organized into the following splits:

train: 27,161 examples
validation: 3,302 examples
test: 1,580 examples

The total size of the dataset is 7.7 GB, with a download size of 7.7 GB.

Data Fields

image: The brightfield microscopy image (image)
label: The split the image belongs to (class label)
- 0: test
- 1: train
- 2: val
width: The width of the image (int64)
height: The height of the image (int64)
objects: A struct containing:
- bbox: A sequence of sequences representing the bounding box coordinates (float64)
- categories: A sequence of integers representing the object categories (int64)
well_edge: Whether this image contains elements of a microtiter plate well edge (bool)