DATASET
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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
.xmlfiles - 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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