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Dataset assetOpen Source CommunityMedical Image AnalysisBlood Cell Detection
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.
Source
github
Created
Jan 18, 2019
Updated
Apr 3, 2020
Signals
245 views
Availability
Linked source ready
Overview
Dataset description and usage context
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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