Datasets:
Tasks:
Image Classification
Modalities:
Image
Formats:
parquet
Languages:
English
Size:
1K - 10K
Tags:
veterinary
cell classification
animal
endangered species
microscopy
microscopic biological image
License:
File size: 2,344 Bytes
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---
dataset_info:
features:
- name: image
dtype:
image:
mode: RGB
- name: label
dtype:
class_label:
names:
'0': Basophil
'1': Eosinophil
'2': Lymphocyte
'3': Monocyte
'4': Neutrophil
splits:
- name: cropped
num_bytes: 67705296.008
num_examples: 1407
- name: augmented
num_bytes: 38799344.112
num_examples: 1464
- name: original
num_bytes: 1215365418
num_examples: 285
download_size: 1293100320
dataset_size: 1321870058.12
configs:
- config_name: default
data_files:
- split: cropped
path: data/cropped-*
- split: augmented
path: data/augmented-*
- split: original
path: data/original-*
license: cc-by-4.0
task_categories:
- image-classification
language:
- en
tags:
- veterinary
- cell classification
- animal
- endangered species
- microscopy
- microscopic biological image
- pig
- blood cell
- white blood cell
- cell counting
pretty_name: Dataset for Machine Learning-Based Classification of White Blood Cells of the Juvenile Visayan Warty Pig
size_categories:
- 1K<n<10K
---
# WartyPig Dataset
[](https://dx.doi.org/10.21227/3qsb-d447)
## Dataset Description
- **Homepage:** [WartyPig Dataset](https://dx.doi.org/10.21227/3qsb-d447)
## Description
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.
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.
The dataset contains 3,457 images of various types of white blood cells (JPEG).
## Citations
```bibtex
@data{3qsb-d447-22,
title = {Dataset for Machine Learning-Based Classification of White Blood Cells of the Juvenile Visayan Warty Pig},
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},
year = 2022,
publisher = {IEEE Dataport},
doi = {10.21227/3qsb-d447},
url = {https://dx.doi.org/10.21227/3qsb-d447}
}
``` |