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@@ -22,7 +22,7 @@ dataset_info:
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  num_bytes: 38799344.112
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  num_examples: 1464
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  - name: original
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- num_bytes: 1215365418.0
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  num_examples: 285
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  download_size: 1293100320
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  dataset_size: 1321870058.12
@@ -35,4 +35,50 @@ configs:
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  path: data/augmented-*
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  - split: original
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  path: data/original-*
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  num_bytes: 38799344.112
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  num_examples: 1464
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  - name: original
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+ num_bytes: 1215365418
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  num_examples: 285
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  download_size: 1293100320
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  dataset_size: 1321870058.12
 
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  path: data/augmented-*
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  - split: original
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  path: data/original-*
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+ license: cc-by-4.0
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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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+ - veterinary
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+ - cell classification
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+ - animal
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+ - endangered species
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+ - microscopy
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+ - microscopic biological image
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+ - pig
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+ - blood cell
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+ - white blood cell
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+ - cell counting
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+
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+ pretty_name: Dataset for Machine Learning-Based Classification of White Blood Cells of the Juvenile Visayan Warty Pig
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ # WartyPig Dataset
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+
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+ [![](https://ieee-dataport.org/sites/default/files/styles/3x2/public/Graphical%20abstract_2.png)](https://dx.doi.org/10.21227/3qsb-d447)
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+
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+ ## Dataset Description
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+
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+ - **Homepage:** [WartyPig Dataset](https://dx.doi.org/10.21227/3qsb-d447)
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+
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+ ## Description
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+ This dataset was prepared to aid in the creation of a machine learning algorithm that would classify the white blood cells in thin blood smears of juvenile Visayan warty pigs.
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+ The creation of this dataset was deemed imperative because of the limited availability of blood smear images collected from the critically endangered species on the internet.
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+ The dataset contains 3,457 images of various types of white blood cells (JPEG).
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+
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+ ## Citations
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+
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+ ```bibtex
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+ @data{3qsb-d447-22,
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+ title = {Dataset for Machine Learning-Based Classification of White Blood Cells of the Juvenile Visayan Warty Pig},
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+ author = {Alipo-on, Jacqueline Rose and Escobar, Francesca Isabelle and Novia, Jemima Loise and Atienza, Monica Marie and Mana-ay, Sonny and Tan, Myles Joshua and AlDahoul, Nouar and Yu, Evan},
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+ year = 2022,
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+ publisher = {IEEE Dataport},
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+ doi = {10.21227/3qsb-d447},
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+ url = {https://dx.doi.org/10.21227/3qsb-d447}
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+ }
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+ ```