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mario-dg/brightfield-microscopy-scc-filtered

Brightfield Microscopy SCC Dataset Filtered to only contain images with no well edge visible 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… See the full description on the dataset page: https://huggingface.co/datasets/mario-dg/brightfield-microscopy-scc-filtered.

sourceHugging Faceupdated 2y agoView on Hugging Face
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Dataset Card

Brightfield Microscopy SCC Dataset

Filtered to only contain images with no well edge visible

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: 20,558 examples
  • validation: 2,527 examples
  • test: 1,199 examples

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 (float)
  • categories: A sequence of integers representing the object categories (int)
  • well_edge: Whether this image contains elements of a microtiter plate well edge (bool)