---
title: CBC
canonical_url: "https://www.modelscope.cn/datasets/OmniData/CBC"
md_url: "https://www.modelscope.cn/datasets/OmniData/CBC.md"
repository: OmniData/CBC
last_updated: 2024-07-01
license: "[MIT]"
storage_size: "17 MB"
domain:
  - publishDate
  - publisher
  - labelTypes
  - displayName
  - publishUrl
  - paperUrl
  - mediaTypes
  - taskTypes
tasks:
  - 2019
  - "Bangladesh University of Engineering and Technology"
  - Box2D
  - "CBC (Complete Blood Count)"
  - "https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset"
  - "https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl.2018.5098"
  - Image
  - "Object Detection"
downloads: 1441
stars: 0
---

# CBC

> CBC - OmniData 在 ModelScope 开源的数据集。displayName: CBC (Complete Blood Count) labelTypes: Box2D license: MIT mediaTypes: Image paperUrl: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl.2018.5098 publishDate: "2019" publishUrl:…

OmniData/CBC 是 ModelScope 魔搭社区上的2019、Bangladesh University of Engineering and Technology、Box2D数据集，涉及 publishDate、publisher、labelTypes 领域，存储大小 17 MB，采用 [MIT] 许可。

- **Repository**: OmniData/CBC
- **License**: [MIT]
- **Tasks**: 2019, Bangladesh University of Engineering and Technology, Box2D, CBC (Complete Blood Count), https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset, https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl.2018.5098, Image, Object Detection
- **Domain**: publishDate, publisher, labelTypes, displayName, publishUrl, paperUrl, mediaTypes, taskTypes
- **Storage size**: 17 MB
- **Downloads**: 1441
- **Stars**: 0
- **Last updated**: 2024-07-01

Source: https://www.modelscope.cn/datasets/OmniData/CBC

---

displayName: CBC (Complete Blood Count)
labelTypes:
- Box2D
license:
- MIT
mediaTypes:
- Image
paperUrl: https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/htl.2018.5098
publishDate: "2019"
publishUrl: https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset
publisher:
- Bangladesh University of Engineering and Technology
tags:
- Hemocyte
taskTypes:
- Object Detection

---
# 数据集介绍
  ## 简介
  全血细胞计数 (CBC) 数据集包含 360 张血涂片图像及其注释文件，分为训练集、测试集和验证集。训练文件夹包含 300 张带注释的图像。测试和验证文件夹都包含 60 张带注释的图像。我们对原始数据集进行了一些修改以准备此 CBC 数据集，其中一些图像注释文件包含的红细胞 (RBC) 比实际值非常低，并且一个注释文件根本不包含任何 RBC，尽管细胞涂片图像包含 RBC .因此，我们清除所有错误文件并将数据集分成三个部分。在 360 张涂片图像中，先将 300 张带注释的血细胞图像作为训练集，然后将剩下的 60 张带注释的图像作为测试集。由于数据不足，训练集的一个子集用于准备验证集，其中包含 60 张带注释的图像。
  ## 引文
  ```
 @article{alam2019machine,
 title={Machine learning approach of automatic identification and counting of blood cells},
 author={Alam, Mohammad Mahmudul and Islam, Mohammad Tariqul},
 journal={Healthcare technology letters},
 volume={6},
 number={4},
 pages={103--108},
 year={2019},
 publisher={IET}
 }
 ```
  
## Download dataset
:modelscope-code[]{type="git"}