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:
from pathlib import Path | |
import datasets | |
_VERSION = "0.1.0" | |
_CITATION = "" | |
_DESCRIPTION = "" | |
_HOMEPAGE = "" | |
_LICENSE = "" | |
_FEATURES = datasets.Features( | |
{ | |
"image": datasets.Image(mode="RGB"), | |
"label": datasets.ClassLabel( | |
names=[ | |
"Basophil", | |
"Eosinophil", | |
"Lymphocyte", | |
"Monocyte", | |
"Neutrophil", | |
] | |
), | |
} | |
) | |
Cropped = datasets.Split("cropped") | |
Augmented = datasets.Split("augmented") | |
Original = datasets.Split("original") | |
class WartyPig(datasets.GeneratorBasedBuilder): | |
DEFAULT_WRITER_BATCH_SIZE = 1000 | |
def _info(self): | |
return datasets.DatasetInfo( | |
features=_FEATURES, | |
supervised_keys=None, | |
description=_DESCRIPTION, | |
homepage=_HOMEPAGE, | |
license=_LICENSE, | |
version=_VERSION, | |
citation=_CITATION, | |
) | |
def _split_generators(self, dl_manager: datasets.DownloadManager): | |
original_images = sorted(list(Path("Original").rglob("*.jpg"))) | |
augmented_images = sorted(list(Path("Augmented images").rglob("*.jpg"))) | |
cropped_images = sorted(list(Path("Cropped Classified").rglob("*.jpg"))) | |
return [ | |
datasets.SplitGenerator( | |
name=Original, | |
gen_kwargs={"images": original_images, "no_label": True}, | |
), | |
datasets.SplitGenerator( | |
name=Cropped, | |
gen_kwargs={"images": cropped_images}, | |
), | |
datasets.SplitGenerator( | |
name=Augmented, | |
gen_kwargs={"images": augmented_images}, | |
), | |
] | |
def _generate_examples(self, images: list[Path], no_label=False): | |
for i, image in enumerate(images): | |
if no_label: | |
yield ( | |
i, | |
{ | |
"image": str(image), | |
}, | |
) | |
else: | |
yield ( | |
i, | |
{ | |
"image": str(image), | |
"label": image.parent.name, | |
}, | |
) | |