README.md

---
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)