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.
The dataset is organized into the following splits:
train: 27,161 examplesvalidation: 3,302 examplestest: 1,580 examplesThe total size of the dataset is 7.7 GB, with a download size of 7.7 GB.
image: The brightfield microscopy image (image)label: The split the image belongs to (class label)
0: test1: train2: valwidth: 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)