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BCCD Dataset

The BCCD dataset is a small‑scale collection for blood cell detection, containing three label types: red blood cells (RBC), white blood cells (WBC), and platelets. Images are in JPEG format with a resolution of 640 × 480 pixels, and annotations are provided in VOC‑style XML files.

Updated 4/3/2020
github

Description

BCCD Dataset Overview

Description

  • Type: Blood cell detection dataset
  • Scale: Small
  • Source: Reconstructed from the original data and annotations of cosmicad and akshaylamba into VOC format
  • License: MIT License

Content

  • Label Types:
    • RBC (Red Blood Cell)
    • WBC (White Blood Cell)
    • Platelets
  • Structure:
    ├── BCCD
    │   ├── Annotations
    │   │       └── BloodImage_00XYZ.xml (364 items)
    │   ├── ImageSets
    │   └── JPEGImages
    │       └── BloodImage_00XYZ.jpg (364 items)
    ├── dataset
    │   └── mxnet
    ├── scripts
    │   ├── split.py
    │   └── visualize.py
    ├── example.jpg
    ├── LICENSE
    └── README.md
    
  • Image Info:
    • Format: JPEG
    • Size: 640 × 480

Annotation Format

  • VOC‑style .xml files
  • Example:
    <annotation>
    	...
    	<object>
    		<name>WBC</name>
    		...
    		<bndbox>
    			<xmin>260</xmin>
    			<ymin>177</ymin>
    			<xmax>491</xmax>
    			<ymax>376</ymax>
    		</bndbox>
    	</object>
    </annotation>
    

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Topics

Blood Cell Detection
Medical Image Analysis

Source

Organization: github

Created: 1/18/2019

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