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.
The Dataset still have some noticeable error so i would recommend picking the best images among the 2500 before performing the augmentation
Each image is resized to 225 x 219
resolution.
N.B.
Rectangular bounding boxes are converted to circular bounding boxes for representation.
<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>