README.md

BCCD Dataset

BCCD Dataset is a small-scale dataset for blood cells detection.

Thanks the original data and annotations from cosmicad and akshaylamba. The original dataset is re-organized into VOC format. BCCD Dataset is under MIT licence.

You can download the .rec format for mxnet directly. The .rec file can be load by mxnet.image.ImageDetIter.

Overview of dataset

• You can see a example of the labeled cell image.

  We have three kind of labels :

  • RBC (Red Blood Cell)
  • WBC (White Blood Cell)
  • Platelets (血小板)

  

• The structure of the BCCD_dataset

  ├── BCCD
  │   ├── Annotations
  │   │       └── BloodImage_00XYZ.xml (364 items)
  │   ├── ImageSets       # Contain four Main/*.txt which split the dataset
  │   └── JPEGImages
  │       └── BloodImage_00XYZ.jpg (364 items)
  ├── dataset
  │   └── mxnet           # Some preprocess scripts for mxnet
  ├── scripts
  │   ├── split.py        # A script to generate four .txt in ImageSets
  │   └── visualize.py    # A script to generate labeled img like example.jpg
  ├── example.jpg         # A example labeled img generated by visualize.py
  ├── LICENSE
  └── README.md
  

• The JPEGImages:

  • Image Type : jpeg(JPEG)
  • Width x Height : 640 x 480

• The Annotations : The VOC format .xml for Object Detection, automatically generate by the label tools. Below is an example of .xml file.

  <annotation>
  	<folder>JPEGImages</folder>
  	<filename>BloodImage_00000.jpg</filename>
  	<path>/home/pi/detection_dataset/JPEGImages/BloodImage_00000.jpg</path>
  	<source>
  		<database>Unknown</database>
  	</source>
  	<size>
  		<width>640</width>
  		<height>480</height>
  		<depth>3</depth>
  	</size>
  	<segmented>0</segmented>
  	<object>
  		<name>WBC</name>
  		<pose>Unspecified</pose>
  		<truncated>0</truncated>
  		<difficult>0</difficult>
  		<bndbox>
  			<xmin>260</xmin>
  			<ymin>177</ymin>
  			<xmax>491</xmax>
  			<ymax>376</ymax>
  		</bndbox>
  	</object>
      ...
  	<object>
  		...
  	</object>
  </annotation>