Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
arrow
Languages:
English
Size:
10K - 100K
Tags:
biology
License:
Update README.md
Browse files
README.md
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# Dataset Card for Blood Dataset
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This dataset was augmented with additional **WBC (White Blood Cell) data obtained from five external sources** to enhance its diversity and robustness. The descriptions of these sources are as follows:
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* **Blood Cell Detection (BCD) dataset (Aslan
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* **Complete Blood Count (CBC) dataset (Alam et al.
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* **White Blood Cells (WBC) dataset (Zheng et al.
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* **Kaggle Blood Cell Images (KBC) dataset (Mooney
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* **Leukocyte Images for Segmentation and Classification (LISC) dataset (Rezatofighi et al. [58])**: Corresponds to a dataset of 250 blood smear images in BMP format. It contains a set of 25 basophil images. (More information can be found at [http://users.cecs.anu.edu.au/\~hrezatofighi/Data/Leukocyte%20Data.htm](http://users.cecs.anu.edu.au/~hrezatofighi/Data/Leukocyte%20Data.htm). Accessed date: 15 May 2019)
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## Usage
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This dataset was created by Falah G. Salieh for the application of blood health classification in the health field.
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It can be used for various applications in computer vision, image classification, and machine learning.
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## Citation
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I
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```
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@misc{blood_8_classes_dataset,
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---
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license: mit
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task_categories:
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- image-classification
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language:
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- en
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tags:
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- biology
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pretty_name: WBC
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size_categories:
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- 1K<n<10K
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---
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# Dataset Card for Blood Dataset
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This dataset was augmented with additional **WBC (White Blood Cell) data obtained from five external sources** to enhance its diversity and robustness. The descriptions of these sources are as follows:
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* **Blood Cell Detection (BCD) dataset (Aslan)**: Contains 100 annotated images in PNG format, with 2237 labeled as Red Blood Cells and only 103 as White Blood Cells. Each image consists of 256 pixels in height and width of RGB channels. (More information can be found at [https://github.com/draaslan/blood-cell-detection-dataset](https://github.com/draaslan/blood-cell-detection-dataset). Accessed date: 30 June 2020)
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* **Complete Blood Count (CBC) dataset (Alam et al.)**: Contains 360 blood smear images along with their annotation files. (More information can be found at [54], [https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset](https://github.com/MahmudulAlam/Complete-Blood-Cell-Count-Dataset). Accessed date: 20 June 2021)
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* **White Blood Cells (WBC) dataset (Zheng et al.)**: Contains 300 images of size 120x120, and 100 color images of size 300x300. (More information can be found at [http://www.doi.org/10.17632/w7cvnmn4c5.1](http://www.doi.org/10.17632/w7cvnmn4c5.1). Accessed date: 15 May 2019)
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* **Kaggle Blood Cell Images (KBC) dataset (Mooney)**: Contains 12,500 augmented images of blood cells (JPEG) with accompanying cell type labels (CSV). There are approximately 3000 images for each of 4 different cell types. (More information can be found at [https://www.kaggle.com/paultimothymooney/blood-cells](https://www.kaggle.com/paultimothymooney/blood-cells). Accessed date: 15 May 2019)
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* **Leukocyte Images for Segmentation and Classification (LISC) dataset (Rezatofighi et al. [58])**: Corresponds to a dataset of 250 blood smear images in BMP format. It contains a set of 25 basophil images. (More information can be found at [http://users.cecs.anu.edu.au/\~hrezatofighi/Data/Leukocyte%20Data.htm](http://users.cecs.anu.edu.au/~hrezatofighi/Data/Leukocyte%20Data.htm). Accessed date: 15 May 2019)
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## Usage
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This dataset was created by Falah G. Salieh for the application of blood health classification in the health field. It can be used for various applications in computer vision, image classification, and machine learning.
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## Citation
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I appreciated contributions of Falah G. Salieh. If you use this dataset in your work, please cite the following paper:
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```
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@misc{blood_8_classes_dataset,
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