Datasets:
Tasks:
Object Detection
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
biology
metadata
language:
- en
size_categories:
- 10K<n<100K
task_categories:
- object-detection
pretty_name: BF Microscopy SCC Filtered
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: 4938750495.413194
num_examples: 20558
- name: validation
num_bytes: 608027081.3190594
num_examples: 2527
- name: test
num_bytes: 288591367.8835443
num_examples: 1200
download_size: 5795214422
dataset_size: 5835368944.615797
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
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 examplesvalidation
: 2,527 examplestest
: 1,199 examples
Data Fields
image
: The brightfield microscopy image (image)label
: The split the image belongs to (class label)0
: test1
: train2
: 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)