/Cell-Dataset

The Cell dataset contains a total of 2500 images of living cells and dead cells with annotations.

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Cell-Dataset

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The Living and Dead cell (LDC) dataset contains 2500 images along with their annotation files, the original dataset is not split into Training, Testing, and Validation sets. I would recommend using roboflow website to augment the dataset. Among the 2500 images, Annotated Living Cells are 7003 while Dead Cells are 1516.

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Performance

The Dataset still have some noticeable error so i would recommend picking the best images among the 2500 before performing the augmentation

Data Description

Image

Each image is resized to 225 x 219 resolution.

N.B. Rectangular bounding boxes are converted to circular bounding boxes for representation.

Annotation Format

<annotation>
	<folder>Label</folder>
	<filename>b (568).png</filename>
	<path>C:\Users\Kudi Okerulu\Desktop\Label\b (568).png</path>
	<source>
		<database>Unknown</database>
	</source>
	<size>
		<width>225</width>
		<height>219</height>
		<depth>1</depth>
	</size>
	<segmented>0</segmented>
	<object>
		<name>Living Cell</name>
		<pose>Unspecified</pose>
		<truncated>0</truncated>
		<difficult>0</difficult>
		<bndbox>
			<xmin>157</xmin>
			<ymin>83</ymin>
			<xmax>178</xmax>
			<ymax>105</ymax>
		</bndbox>
	</object>
</annotation>